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Citibank seeks a Data Science Lead Analyst to develop processes for evaluating input data compliance with fair lending regulations, evaluate AI/ML models, research regulatory rules, assist with regulatory examinations, and design risk management frameworks.
Job Responsibility:
Develop processes to evaluate and test input data used in models for compliance with fair lending regulations
Document and articulate model usage boundaries to stakeholders
Evaluate Tier 2 and Tier 3 models including AI/ML and NLP models for compliance with fair lending regulations
Periodically re-validate processes to ensure validity, efficiency, and accuracy
Research new reform rules and rule changes and implement policies, procedures, or other controls necessary to comply with rules related to algorithm review from fair lending perspective
Assist with regulatory inquiries and/or examinations
Work with examiners and business units to resolve questions related to analytical methodology or data integrity
Review internal strategies, policies, procedures, processes, and programs to prevent violations of law, rule, or regulation
Design and deliver risk management framework that maintains risk levels within firm's risk appetite
Engage with Independent Compliance Risk Management Product and Function coverage teams to develop and apply ICRM program solutions
Collaborate with other internal areas including Legal, Business Management, Operations, other Control Functions, and In-Business Risk to address compliance issues
Requirements:
Bachelor's degree in Data Science, Statistics, Business Analytics and Project Management, Economics, or related field
Three years of experience developing, validating, modifying, and testing quantitative modeling approaches within financial services industry
Experience developing, designing, and leveraging advanced quantitative modeling approaches and sophisticated statistical models including time-series forecasting, and supervised and unsupervised learning methods using Python, SAS, and R
Experience performing complex data discovery utilizing AI and ML on large-scale data lakes using SQL and Big Data technologies
Experience preparing and validating data to build and validate scoring models using logistic regression and behavioral analytics for analysis and tuning of monitoring money laundering behavioral typologies/scenarios
Experience conducting data-driven analysis and creating reports using quantitative and qualitative data analysis methods
Experience preparing statistical and non-statistical data exploration, documenting solutions, and presenting comprehensive results to both technical and non-technical audiences using visualization tools including Matplotlib, Pyplot, and Seaborn in Python
What we offer:
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages including vacation, sick leave, and paid holidays
Discretionary and formulaic incentive and retention awards
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