Market Risk Coverage [Multiple Positions Available]

DESCRIPTION:

Duties: Perform coverage for the Firm's regulatory comprehensive capital analysis and review (CCAR) submissions, including execution of stress testing methodology, analysis of market risk drivers and communication of results to senior management.

Synthesize top-of-mind research topics relevant to the investment portfolios into analysis and special reports.

Stay up to date with market changes and analyze its impact to the portfolios.

Evaluate and implement updates to financial models used in market risk management, including challenges to proposed methodology, performing impact assessments, and coordinating model implementation timelines.

Perform review of business processes and implement enhancements and automation to enhance capabilities and streamline infrastructure.

Conduct analysis and consolidation of budget, forecast, CCAR and risk appetite results and perform variance analysis while reviewing and challenging model outputs and results.

Analyze macroeconomic variables and understand the impact to financial projections.

Push efficiencies and process improvements and be involved in driving technology initiatives.

Ensure data integrity, accuracy and timeliness in all financial reporting and presentations.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Business, Finance, Economics, Data Science, or related field of study plus 2 years of experience in the job offered or as Market Risk Coverage, Market/Financial Risk Analyst, Modeling Analyst, Data Scientist, Validation Analyst, Fund/Financial Accounting or related occupation.

Skills Required: This position requires one (1) year of experience with the following: designing and developing interactive Excel reports with VLOOKUP, INDEX MATCH, pivot tables, and VBA scripting; developing PowerPoint reports for additional data analysis via Excel linkage; building Tableau dashboards for data visualization and reporting; database design, data structuring with ODBC databases, and query optimization using SQL, MYSQL, and MDX; Asset and Liability Management and Cashflow Management; statistical analysis using logistic regression, multivariate regression, classification techniques, attribution, cohort analysis, and time series analysis machine learning methods; predictive modeling in R with tseries, msm, and knitr packages; data analysis, data manipulation, and data frame restructuring in Python using pandas, NumPy, and scikit-learn libraries; fixed income risk hedging and cross-asset class products including government bonds, mortgage- backed securities, swaps, and credit products; data transformation on macroeconomic census data, including interpolation, normalization, and discretization; performing economic forecasting models and reconciliation of model results; developing automated Python, R, and Tableau- integrated Alteryx workflows for data processing, data manipulation, and generating emails and reports on Alteryx Galley.

This position requires any amoun...