Sr. Credit Risk Analyst

Job Summary

Under limited supervision the Sr. Analyst Credit Risk will drive and maintain HDFS portfolio servicing strategies and credit loss forecasting analytics to promote continuous improvement towards achieving company profitability and loss objectives. This role will partner with operational/risk leadership to develop performance KPIs and incentive targets and measure Collection/Loss Mitigation strategy results as well as provide loss forecast projections and staff capacity planning support and liaison with Operations, Finance, Modeling, and Senior Leadership to ensure consistency of the forecast and variance/driver/overlay analysis.

Job Responsibilities

•    Develop/Support loss forecasting models and/ or projection for HDFS from a Credit Risk view during finance budget and capacity planning process to improve forecasting accuracy and productivity. Manage various monthly and quarterly reporting and forecasting analytics with commentary on overlays, variances, and drivers throughout different forecast cycles with Operations and FP & A collaboration and alignment.
•    Design, propose, implement, validate, and measure Collection/Loss Mitigation strategies and maintain strategy criteria in the production systems. Supports the structure and continuance of Champion/Challenger strategies. Develop pro-forma to model projected impact of various treatments and lead changes determined by cost and benefit analysis - to improve account resolution, customer contacts, and recovery KPIs.
•    Provides Senior Management team with periodic updates on portfolio strategies’ effectiveness, analyze results to identify and propose enhancement and compare industry trends through benchmarking efforts.
•    Serve as the Risk Management SME that improves portfolio performance and partner with transformation team, Operations, Data Science, BI/IT, Project management office to optimize business rules/logics and scoring models used for servicing strategies into the technical development of the decision system platform, identify implementation risks/issues, and create mitigation resolutions.
•    Leverage predictive and data mining tools including but not limited to Alteryx/SQL/SAS, Python, R to conduct statistical and non-statistical studies for business problem solving in HDFS portfolio management.
•    Use strong written and oral communication skills to create and present data-supported, actionable recommendations of business benefits of data-driven analyses, models, and other technical recommendations to both peers and senior management. 
 

Education Requirements

Education Specifications

Bachelor’s Degree in Computer Science, Engineering, Statistics, Mathematics, Economics, Finance, or a quantitative related discipline is required. Experience equivalency may be considered if STEM degree is not available. Advanced degree preferred.

Experience Requirements

Required
•    3+ years financial services experience in a quantitative role, preferably in Portfolio Management, Risk Management, Business Analysis, Operations or Technology Transformation focused role.
•    3+ years of prior work with relational databases and working knowledge with data/analytical tools such as Alteryx/SQL/SAS, Python, R or similar applications to be self-sufficient to integrate data from various sources and conduct descriptive and predictive studies.
•    Proficient in Microsoft Office product with an emphasis on MS Excel.
•    Strong knowledge of statistical and analytical methodologies and problem-solving skills with the ability to think logically and effectively utilize analytical software/techniques to develop and execute effective solutions.
•    Attention to details and numbers with a big picture view to quickly grasp and understand complexity, problems, impacts, and concepts.
•    Demonstrated ability to take the initiative and achieve results in a fast-paced and changing environment.
•    Consistently demonstrates clear and concise written and verbal communication skills -the ability to achieve positive outcomes through influence.
•    Proven contributor in a team environment with the demonstrated ability to interact effectively with all levels of staff. 
•    Creative thinker, problem-solver.

Preferred
•    5+ years of experience as a Credit Risk Analyst, Decision System Analyst, Business Rules Developer in Portfolio Management, Quantitative Modeling, Risk Management /Decision Analytics team in financial services institutions.
•    Experience in consumer credit loss analytics and/or modeling, delinquency roll rate analysis, budgeting, forecasting, time series study, collaboration with FP & A is a plus. 
•    Experience with analytical/data/ETL environment conversion, for example, switching analytical platform from SAS/SQL to Alteryx or R/Python is preferred.
•    Experience with designing and implementing champion challenger (A/B test) strategies in Collections/Loss Mitigations is preferred.