Citigroup is a global financial services firm that offers a wide range of financial products and services to individuals, businesses, governments, and institutions. We strive to create the best solutions for our clients by working as one, collaborative team in over 160 countries and jurisdictions.Citi Data, Digital, and Innovation seeks an experienced Senior Vice President Data Scientist to join our Boston team. This position requires the candidate to have a solid machine learning (ML) foundation. In addition, we require exceptional soft skills such as communication, leadership, and problem-solving. As a Citigroup Data Scientist, you can shape our organization's future by leveraging data-driven insights to drive innovation and growth.(2) Core ResponsibilitiesAs a Senior Vice President Data Scientist, your core responsibilities will include:Develop and implement advanced ML models to solve complex business problems and generate valuable decision-useful results Collaborate with cross-functional teams to define data requirements, identify data sources, and collect and preprocess data for model development Evaluate the performance of existing models and recommend improvements or new approaches to enhance their effectiveness Stay up-to-date with the latest research and advancements in ML to ensure the adoption of best practices and state-of-the-art solutions Present complex findings and insights to technical and non-technical stakeholders clearly and concisely, driving data-driven decision-making across the organization Actively participate in the development and execution of data-driven strategies to support the organization's goals and objectives(3) QualificationsTo be considered for the SVP Data Scientist position, candidates must possess the following qualifications:A minimum of 5-7 years of relevant data science experience, focusing on MLPost-graduate degree in Computer Science, Data Science, Statistics, or a related field is preferred; a CFA charter is a plusStrong programming skills in Python, R, or other relevant languagesKnowledge of various ML algorithms (e.g., supervised, unsupervised, and reinforcement learning), feature engineering and selection techniques, and model evaluation and validationExperience with ML frameworks such as TensorFlow, PyTorch, and scikit-learnExcellent communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiencesStrong leadership and teamwork skills, with the ability to collaborate effectively across various teams and disciplinesA proven track record of problem-solving, adaptability, and creativity in addressing complex challengesCitigroup is an equal-opportunity employer and is committed to creating a diverse and inclusive workplace. Therefore, we encourage applications from all qualified candidates, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.-------------------------------------------------Job Family Group:Product Management and Development-------------------------------------------------Job Family:Digital Product Management------------------------------------------------------Time Type:Full time------------------------------------------------------Primary Location:Boston Massachusetts United States------------------------------------------------------Primary Location Salary Range:$182,400.00 - $273,600.00------------------------------------------------------Citi is an equal opportunity and affirmative action employer.Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Citigroup Inc. and its subsidiaries ('Citi) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity reviewAccessibility at Citi .View the ' EEO is the Law ' poster. View theEEO is the Law Supplement .View theEEO Policy Statement .View thePay Transparency Posting#J-18808-Ljbffrby Jobble

The position is with the Product and Analytics group, part of the Enterprise Excellence organization.The Enterprise Excellence (EE) team is a group within the Operations and Technology (O&T) that designs solutions to enhance transparency; empowers Operations and Functions to improve processes; and evolves the organization through continuous improvement and simplification. The organization is responsible for defining, deploying, and driving alignment and progress against a firm-wide framework that reduces operational risk, standardizes workforce optimization, and improves process health. The data management initiative, within the Products & Analytics group, is about maintaining the highest standards of data quality and integrity to ensure accurate and reliable data driven insights. As part of our continued commitment to excellence, we are seeking a talented Data Scientist focusing on data management & data quality.As a Data Scientist in the group, you will play a crucial role in ensuring the accuracy, consistency, and reliability of our data assets. You will collaborate closely with cross-functional teams to develop and implement data quality standards, processes, and best practices. Leveraging your expertise in data analysis and quality assurance methodologies, you will identify and mitigate data quality issues, monitor data quality metrics, and drive continuous improvement initiatives to enhance the overall quality of our data.Key responsibilities:+ Understand the products and processes in the group and undertake meticulous data analysis to develop an automated and scalable framework to ensure data accuracy, completeness, and consistency.+ Establish data profiling techniques and data quality metrics to measure and track the performance of data quality initiatives.+ Collaborate with data engineers, IT, and business stakeholders to define and implement data quality standards, policies, and procedures.+ Provide guidance and support to internal teams on data quality best practices, data cleansing techniques, and data quality improvement strategies.+ Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AI/ML.+ Collaborate with data governance teams to ensure compliance with regulatory requirements and industry standards related to data quality and privacy.+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.**Qualifications:**+ 6 to 8 years of relevant experience, and 5 + years of experience in data science, machine learning, quality assurance and data management roles+ Strong understanding of data quality concepts, methodologies, and best practices, with good exposure to data quality tools and platforms.+ Experience and understanding of data profiling techniques, data cleansing methods, and data validation strategies.+ Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data.+ Proficiency in SQL and experience with data manipulation and querying tools (e.g., SQL Server, PostgreSQL, Oracle).+ Proficiency in programming in Python and experience with data manipulation libraries (e.g., pandas, NumPy).+ Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.+ Experience with big data technologies (e.g., Hadoop, Spark, Hive) and data visualization tools (e.g., Tableau, Power BI) is a plus+ Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.**Education:**+ Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.+ Masters degree preferredThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.------------------------------------------------------**Job Family Group:**Technology------------------------------------------------------**Job Family:**Applications Development------------------------------------------------------**Time Type:**Full time------------------------------------------------------**Primary Location:**Tampa Florida United States------------------------------------------------------**Primary Location Full Time Salary Range:**$113,840.00 - $170,760.00In addition to salary, Citis offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.------------------------------------------------------**Anticipated Posting Close Date:**Apr 22, 2024------------------------------------------------------Citi is an equal opportunity and affirmative action employer.Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Citigroup Inc. and its subsidiaries ('Citi) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review **Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)** .View the 'EEO is the Law (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/eeopost.pdf) ' poster. View the EEO is the Law Supplement (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) .View the EEO Policy Statement (http://citi.com/citi/diversity/assets/pdf/eeo_aa_policy.pdf) .View the Pay Transparency Posting (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf)Citi is an equal opportunity and affirmative action employer.Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.#J-18808-Ljbffrby Jobble

The position is with the Product and Analytics group, part of the Enterprise Excellence organization.The Enterprise Excellence (EE) team is a group within the Operations and Technology (O&T) that designs solutions to enhance transparency; empowers Operations and Functions to improve processes; and evolves the organization through continuous improvement and simplification. The organization is responsible for defining, deploying, and driving alignment and progress against a firm-wide framework that reduces operational risk, standardizes workforce optimization, and improves process health. The data management initiative, within the Products & Analytics group, is about maintaining the highest standards of data quality and integrity to ensure accurate and reliable data driven insights. As part of our continued commitment to excellence, we are seeking a talented Data Scientist focusing on data management & data quality.As a Data Scientist in the group, you will play a crucial role in ensuring the accuracy, consistency, and reliability of our data assets. You will collaborate closely with cross-functional teams to develop and implement data quality standards, processes, and best practices. Leveraging your expertise in data analysis and quality assurance methodologies, you will identify and mitigate data quality issues, monitor data quality metrics, and drive continuous improvement initiatives to enhance the overall quality of our data.Key responsibilities:Understand the products and processes in the group and undertake meticulous data analysis to develop an automated and scalable framework to ensure data accuracy, completeness, and consistency.Establish data profiling techniques and data quality metrics to measure and track the performance of data quality initiatives.Collaborate with data engineers, IT, and business stakeholders to define and implement data quality standards, policies, and procedures.Provide guidance and support to internal teams on data quality best practices, data cleansing techniques, and data quality improvement strategies.Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AI/ML.Collaborate with data governance teams to ensure compliance with regulatory requirements and industry standards related to data quality and privacy.Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.Qualifications:6 to 8 years of relevant experience, and 5 + years of experience in data science, machine learning, quality assurance and data management rolesStrong understanding of data quality concepts, methodologies, and best practices, with good exposure to data quality tools and platforms.Experience and understanding of data profiling techniques, data cleansing methods, and data validation strategies.Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data.Proficiency in SQL and experience with data manipulation and querying tools (e.g., SQL Server, PostgreSQL, Oracle).Proficiency in programming in Python and experience with data manipulation libraries (e.g., pandas, NumPy).Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.Experience with big data technologies (e.g., Hadoop, Spark, Hive) and data visualization tools (e.g., Tableau, Power BI) is a plusStrong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.Education:Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.Masters degree preferredThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.------------------------------------------------------Job Family Group:Technology ------------------------------------------------------Job Family:Applications Development ------------------------------------------------------Time Type:Full time ------------------------------------------------------Primary Location:Tampa Florida United States ------------------------------------------------------Primary Location Full Time Salary Range:$113,840.00 - $170,760.00In addition to salary, Citis offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.------------------------------------------------------Anticipated Posting Close Date:Apr 22, 2024 ------------------------------------------------------Citi is an equal opportunity and affirmative action employer.Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Citigroup Inc. and its subsidiaries ('Citi) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .View the ' EEO is the Law ' poster. View the EEO is the Law Supplement .View the EEO Policy Statement .View the Pay Transparency Posting#J-18808-Ljbffrby Jobble

The position is with the Product and Analytics group, part of the Enterprise Excellence organization. The Enterprise Excellence (EE) team is a group within the Operations and Technology (O&T) that designs solutions to enhance transparency; empowers Operations and Functions to improve processes; and evolves the organization through continuous improvement and simplification. The organization is responsible for defining, deploying, and driving alignment and progress against a firm-wide framework that reduces operational risk, standardizes workforce optimization, and improves process health. The data management initiative, within the Products & Analytics group, is about maintaining the highest standards of data quality and integrity to ensure accurate and reliable data driven insights. As part of our continued commitment to excellence, we are seeking a talented Data Scientist focusing on data management & data quality. As a Data Scientist in the group, you will play a crucial role in ensuring the accuracy, consistency, and reliability of our data assets. You will collaborate closely with cross-functional teams to develop and implement data quality standards, processes, and best practices. Leveraging your expertise in data analysis and quality assurance methodologies, you will identify and mitigate data quality issues, monitor data quality metrics, and drive continuous improvement initiatives to enhance the overall quality of our data. Key responsibilities: <ul><li>Understand the products and processes in the group and undertake meticulous data analysis to develop an automated and scalable framework to ensure data accuracy, completeness, and consistency.</li><li>Establish data profiling techniques and data quality metrics to measure and track the performance of data quality initiatives.</li><li>Collaborate with data engineers, IT, and business stakeholders to define and implement data quality standards, policies, and procedures.</li><li>Provide guidance and support to internal teams on data quality best practices, data cleansing techniques, and data quality improvement strategies.</li><li>Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AI/ML.</li><li>Collaborate with data governance teams to ensure compliance with regulatory requirements and industry standards related to data quality and privacy.</li><li>Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul> Qualifications: <ul><li>6 to 8 years of relevant experience, and 5 + years of experience in data science, machine learning, quality assurance and data management roles</li><li>Strong understanding of data quality concepts, methodologies, and best practices, with good exposure to data quality tools and platforms.</li><li>Experience and understanding of data profiling techniques, data cleansing methods, and data validation strategies.</li><li>Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data.</li><li>Proficiency in SQL and experience with data manipulation and querying tools (e.g., SQL Server, PostgreSQL, Oracle).</li><li>Proficiency in programming in Python and experience with data manipulation libraries (e.g., pandas, NumPy).</li><li>Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.</li><li>Experience with big data technologies (e.g., Hadoop, Spark, Hive) and data visualization tools (e.g., Tableau, Power BI) is a plus</li><li>Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.</li></ul> Education: <ul><li>Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.</li><li>Master's degree preferred</li></ul> This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Primary Location: Tampa Florida United States Primary Location Full Time Salary Range: $113,840.00 - $170,760.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Anticipated Posting Close Date: Apr 22, 2024 Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View the "EEO is the Law" poster. View the EEO is the Law Supplement. View the EEO Policy Statement. View the Pay Transparency Posting

Serves as a function/business/product compliance risk officer for fair lending and fairness model review for tier 2 and tier 3 models that are considered lower fair lending risk, including AI/ML natural language processing (NLP) models and many third party models. Responsible for assisting with internal strategies, policies, procedures, processes, and programs to prevent violations of law, rule, or regulation and design and deliver a risk management framework that maintains risk levels within the firm's risk appetite and protect the franchise. Engages with the ICRM Product and Function coverage teams, in order to partner to develop and apply CRM program solutions that meet the function/business/product and customer needs in a manner consistent with the Citi program framework. Primary responsibilities focus on evaluating models used throughout the lending life cycle for compliance with fair lending and fairness regulations in the United States and maintaining proper documentation and work papers. The candidate will be part of the Fair Lending Model Review team focusing on evaluation of input data used in models, clearly documenting, and articulating the model usage boundaries to the key stakeholders. The candidate will be a key member of the Office of Fair Lending and Privacy, ICRM team, which has responsibility for the enterprise-wide fair lending ICRM program that spans across Citi's US lending businesses Responsibilities: <ul><li>Assisting in the design, development, delivery and maintenance of best-in-class Compliance, programs, policies, and practices related to fairness model review for ICRM.</li><li>Develop processes to evaluate and test input data for models used throughout the lending life cycle for compliance with fair lending regulations.</li><li>Ensure proper documentation related to third party models</li><li>Assisting in the development and administration of Compliance training related to evaluation of tier 2 and tier 3 models.</li><li>Researching any new reform rules and rule changes and implementing policies, procedures, or other controls necessary to comply with the rules related to algorithm review from a fair lending and fairness perspective.</li><li>Periodically re-validate processes to ensure validity, efficiency, and accuracy; and to identify enhancement opportunities.</li><li>Develop and deepen Subject Matter Expertise in Fair Lending and Fairness regulations/laws as it relates to algorithm review through internal, external, and on-the-job training.</li><li>Assisting with regulatory inquiries and/or examinations. This may include coordination with regulators and other parties.</li><li>Work with examiners and business units to resolve any questions related to analytical methodology or data integrity</li><li>Collaborating with other internal areas including Legal, Business Management, Operations, Technology, Finance, other Control Functions, and In-Business Risk to address compliance issues related to review of models which may impact the supported function/business/product.</li><li>Additional duties as assigned</li></ul> Qualifications: <ul><li>At least 8 years of work experience in related fields</li><li>3+ years of work experience or equivalent in highly quantitative field, such as data science, applied economics, applied statistics, mathematics, or physics.</li><li>Model development experience - preferably with AI/ML methods in finance or banking</li><li>Experience in model development, model review and validation</li><li>In-depth knowledge and understanding and demonstrated experience working with: AI/ML model development or validation, segmentation analysis and other statistical methods.</li><li>Knowledge if issue management system and Citi risk and controls systems is a plus</li><li>Knowledge of Compliance laws, rules, regulations, risks and typologies</li><li>Must be a self-starter, flexible, innovative and adaptive</li><li>Strong interpersonal skills with the ability to work collaboratively and with people at all levels of the organization</li><li>Strong written and verbal communication and interpersonal skills</li><li>Excellent project management and organizational skills and capability to handle multiple projects at one time</li><li>Proficient in MS Office applications (Excel, Word, PowerPoint), Python, SAS, Pyspark</li><li>Demonstrated knowledge in area of focus</li><li>Relevant certifications desirable</li></ul> Education/Experience: <ul><li>Bachelor's degree; experience in compliance, legal or other control-related function in the financial services firm, regulatory organization, or legal/consulting firm, or a combination thereof; strong working knowledge of function/business/product supported and the related operations and financial requirements</li><li>Knowledge of issue management system and Citi risk and controls systems is a plus</li></ul> <ul><li>Model development experience - preferably with AI/ML methods in finance or banking</li><li>Proficient in tools like Python, SAS, R, and MS Office applications (Excel, Word, PowerPoint).</li><li>Knowledge of the latest AI/ML methods used to build predictive models.</li><li>Excellent written and verbal communication skills</li><li>Must be a team player and able to support team deliverables while delivering on individual responsibilities.</li><li>Strong interpersonal skills with the ability to work collaboratively with people at all levels of the organization within the US as well as globally.</li><li>Excellent organizational skills and capability to handle multiple projects at one time</li><li>Flexibility in time management due to global collaboration and the ability to ensure proper analysis from colleagues in other business units</li></ul> Job Family Group: Technology Job Family: Data Science Time Type: Full time Primary Location: Tampa Florida United States Primary Location Salary Range: $113,840.00 - $170,760.00 Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View the "EEO is the Law" poster. View the EEO is the Law Supplement. View the EEO Policy Statement. View the Pay Transparency Posting

The position is with the Product and Analytics group, part of the Enterprise Excellence organization. The Enterprise Excellence (EE) team is a group within the Operations and Technology (O&T) that designs solutions to enhance transparency; empowers Operations and Functions to improve processes; and evolves the organization through continuous improvement and simplification. The organization is responsible for defining, deploying, and driving alignment and progress against a firm-wide framework that reduces operational risk, standardizes workforce optimization, and improves process health. The data management initiative, within the Products & Analytics group, is about maintaining the highest standards of data quality and integrity to ensure accurate and reliable data driven insights. As part of our continued commitment to excellence, we are seeking a talented Data Scientist focusing on data management & data quality. As a Data Scientist in the group, you will play a crucial role in ensuring the accuracy, consistency, and reliability of our data assets. You will collaborate closely with cross-functional teams to develop and implement data quality standards, processes, and best practices. Leveraging your expertise in data analysis and quality assurance methodologies, you will identify and mitigate data quality issues, monitor data quality metrics, and drive continuous improvement initiatives to enhance the overall quality of our data. Key responsibilities: + Understand the products and processes in the group and undertake meticulous data analysis to develop an automated and scalable framework to ensure data accuracy, completeness, and consistency. + Establish data profiling techniques and data quality metrics to measure and track the performance of data quality initiatives. + Collaborate with data engineers, IT, and business stakeholders to define and implement data quality standards, policies, and procedures. + Provide guidance and support to internal teams on data quality best practices, data cleansing techniques, and data quality improvement strategies. + Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AI/ML. + Collaborate with data governance teams to ensure compliance with regulatory requirements and industry standards related to data quality and privacy. + Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. **Qualifications:** + 6 to 8 years of relevant experience, and 5 + years of experience in data science, machine learning, quality assurance and data management roles + Strong understanding of data quality concepts, methodologies, and best practices, with good exposure to data quality tools and platforms. + Experience and understanding of data profiling techniques, data cleansing methods, and data validation strategies. + Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data. + Proficiency in SQL and experience with data manipulation and querying tools (e.g., SQL Server, PostgreSQL, Oracle). + Proficiency in programming in Python and experience with data manipulation libraries (e.g., pandas, NumPy). + Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a plus. + Experience with big data technologies (e.g., Hadoop, Spark, Hive) and data visualization tools (e.g., Tableau, Power BI) is a plus + Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. **Education:** + Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field. + Masters degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Applications Development ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Primary Location:** Tampa Florida United States ------------------------------------------------------ **Primary Location Full Time Salary Range:** $113,840.00 - $170,760.00 In addition to salary, Citis offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ **Anticipated Posting Close Date:** Apr 22, 2024 ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review **Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)** . View the "EEO is the Law (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/eeopost.pdf) " poster. View the EEO is the Law Supplement (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf) . View the EEO Policy Statement (http://citi.com/citi/diversity/assets/pdf/eeo_aa_policy.pdf) . View the Pay Transparency Posting (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf)Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

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