Data Analytics Lead Analyst (VP) - Qualitative Review

The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:

• Serving as a data scientist for fair lending and fairness model review for a qualitative review of models including AI/ML natural language processing (NLP) models. Responsibilities include:
• Evaluating input data for models used throughout the lending life cycle for compliance with fair lending regulations.
• Ensuring proper documentation or reviews and workpapers.
• Managing the update process for the procedures owned by the team
• Researching any new reform rules and rule changes and update policies, procedures, or other controls necessary to comply with the rules related to algorithm review from a fair lending and fairness perspective.
• Re-validating processes to ensure validity, efficiency, and accuracy; and to identify enhancement opportunities.
• Developing 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.
• Assisting with regulatory inquiries and/or examinations. This may include coordination with regulators and other parties.
• Integrates subject matter and industry expertise within a defined area.
• Contributes to data analytics standards around which others will operate.
• Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.
• Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
• Resolves occasionally complex and highly variable issues.
• Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken.
• Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
• 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.
• Other job-related duties may be assigned as required.

Qualifications:

• 6-10 years experience using codes for statistical modeling of large data sets
• Knowledge of Fair Lending and Fairness regulations
• Model review experience preferably with AI/ML methods in finance or banking
• Knowledge of Compliance laws, rules, regulations, risks and typologies
• Must be a self-starter, flexible, innovative and adaptive
• Strong written, verbal and interpersonal skills with the ability to work collaboratively and with people at all levels of the organization

Education:

• Bachelors/University degree in Information Systems, Business Analysis / Computer Science, Data Science, Economics, Statistics or equivalent experience
• Masters degree preferred

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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.

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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.

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