Stress Testing Analyst
: Job Details :

Grow your career as a Data Analyst with an innovative global bank in New York, NY. Contract role with strong possibility of extension. Will require working a hybrid schedule 2-3 days onsite per week.Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.Contract Duration: 6+ MonthsRequired Skills & ExperienceBachelor's/University degree.5+ years of experience working in financial institutions.Sound knowledge of statistical modeling concepts and industry best practices; experience with econometric and statistical modeling or application risk scoring.Excellent quantitative and analytic skills. Ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.Experience with analytical or data manipulation tools (e.g. Tableau, Python, R).Proficient with MS Office suite.Previous experience working on stress testing, model analytics, benchmarking and review & challenge function.Knowledge on scenario design, sensitivity shocks and risk identification process.Good interpretation skills to convey complex quantitative methodology in simple terms.Desired Skills & ExperienceMaster's degree.What You Will Be DoingExecute periodic stress testing exercises to monitor WCR's risk appetite and identify vulnerable areas.Provide analytics support to explain the stress test outcome for wholesale lending products.Partner with business units and risk managers to assess data availability and fit for purpose modeling approaches.Interact with model developers, model risk governance, business risk, internal audit.Leverage business/product expertise to evaluate and challenge the stress loss assumptions in hypothetical and historical stress scenarios.Gather and analyze portfolio and macro-economic data to assess potential impact on business performance and integrate the trends to the portfolio loss forecast.Research on 3rd party data, loss history and alternative models to build inventory of benchmarks.Develop deep expertise in stress testing methodologies and validate fit for purpose usage in BAU stress testing management.Contribute and refine current model performance monitoring process to interpret model output and identify opportunities for future improvements.Create a new scenario design capability leveraging existing models & data to translate emerging risk to economic scenarios, model inputs or portfolio shocks.Perform quarterly gap assessment between scenario coverage and material risk inventory.Build tools & analytical capabilities to support outcome analysis, loss forecasting reports and what-if analysis.Work with large datasets and complex algorithms to derive analytical insights, identify data quality issues and support trend analysis.Leverage big data to develop innovative deployable solutions.#J-18808-Ljbffr