Brooklyn, NY, USA
39 days ago
Stress Testing - Model Development Associate

The Commercial & Investment Bank (CIB) Treasury Stress Testing group is responsible for the Balance Sheet, Net Interest Income (NII), Fund Transfer Pricing (FTP), and Risk Weighted Asset (RWA) projections in CIB’s Quarterly Risk Appetite and Comprehensive Capital Analysis and Review (CCAR) exercises. Team members in this space are relentlessly curious and focus on creating well-controlled analytical environments. Team members have high exposure to senior management and are subject matter experts on the Balance Sheet, NII and FTP projections for one of the world’s pre-eminent financial institutions. 

CIB Treasury Stress Testing is searching for a candidate to support its mission in providing best in class financial projections which support the Firm’s strategic decision making. 

Job Responsibilities

Support CCAR (Comprehensive Capital Analysis and Review) model enhancement/development (qualitative and quantitative based modeling using Python), execution, analysis and review Synthesize results from stress projections into holistic presentations for senior management Understand the interactions between different financial concepts on CIB’s stress projections – particularly in the Markets businesses Focus on process improvement – be part continuous improvement team which is moving towards automated, repeatable solutions Operate under tight timelines to comply with internal and regulatory-prescribed deadlines  Manage interactions with partner teams which have competing or dual priorities Concisely convey topics to audiences with varying backgrounds on FTP / BS / NII Work closely with a global team operating on multiple continents Grow into a technical job area to become a subject matter expert

 

Required Qualifications, Skills, and Capabilities

5+ years supporting a large financial services organization Familiarity and experience with Capital Stress Testing Knowledge or experience or familiarity to risk management  Regression-based modeling experience A strong understanding of statistical concepts Coding experience, python greatly preferred Comfortable working autonomously in an unstructured environment Excellent organizational and problem-solving skills Proficient in Microsoft applications, specifically Excel and PowerPoint Ability to execute tasks under aggressive targets and effectively manage to changes in plan Ability to work under pressure and to strict deadlines with competing tasks Good organizational skills & planning ability; strong teamwork and communication skills Results orientated without compromising control

Preferred Qualifications, Skills, and Capabilities

Experience in with Markets products Previous experience analyzing FTP/NII  Knowledge of Commercial Investment Bank (CIB) products and Basel rules  Statistical modeling and Python coding experience

 

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