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Perform risk data quality analysis and address potential risk process and exposure calculation improvements across multiple businesses: Risk Management, IT, Finance, Front Office etc. specializing in Over-The-Counter Traded Derivatives (OTC) and Securities Finance Transactions (SFT) products
Perform daily analysis on key factors and business data focused on securities, transaction products and attributes, liquidity, concentration exposure calculation
Proactive identification of potential business issues for different calculation metrics (Liquidity and Readily Marketable, Pre-settlement, Net Stressed, ECTC)
Assist in identification of critical data elements for key risk processes in partnership with consumer
New risk data quality processes setup based on the Clients requirements. Presents findings/analysis and make recommendations to senior management
Promotes more effective use of existing tools and processes (and eliminate those that are not used or are ineffectual)
May supervise day-to-day work of junior level employees, has the ability to operate with a limited level of direct supervision
Provide training and guidance to other team members
Requirements
10+ years of experience
Experience in a quantitative field
Excellent analytical and practical problem solving abilities
Solid understanding of the consumer lending market, customer life cycle, and P&L
A comprehensive knowledge of Business, Risk data, including Risk data elements and systems across Derivatives and Securities Financing based Transactions and other trading products
Experience in segmentation, modeling, and optimization
Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS etc.) and methodologies (regression, CHAID, simulation, etc.)
Big data and machine learning experiences are (R, Python etc.)