מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
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 usedthroughout the lending life cyclefor 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
Bachelor’s/University degreein Information Systems, Business Analysis / Computer Science, Data Science, Economics, Statisticsor equivalent experience
Masters degree preferred
Anticipated Posting Close Date:
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