Business Data Lead Analyst –Liquidity, Derivatives and SFTs

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Job Overview

The Business Data, information Mgt Analyst is a strategic professional who stays abreast of developments and contributes to directional strategy, recognized technical authority for an area within the business.

Counterparty Credit RiskData Analytics Team analyses securities, trade volumes and exposure trends to identify and address data quality issues that impact exposure calculations. This is accomplished by working closely with our partners in Markets, Client, Credit Risk Management and Technology to improve the integrity of the factors, processes and systems that impact data quality. The team is comprised of risk professionals with subject matter expertise of the key attributes that are critical for effective exposure calculations (PSE, NSE) on Derivatives (OTC) and Securities (SFT) products.

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

Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the function.

Responsibilities:

• This function covers incumbents responsible for various data activities, which include database administration, data analysis, maintenance, data quality, and database management or database architecture / design engineering
• Role at this level usually has full ownership for one or more processes, reports, procedures or products, and may also be considered analytical or procedural experts representing a unit or team on cross-function process or project deliverables
• 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

Recommended Qualifications: 

• 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.)

Education:

• Bachelors/University degree, Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Decision Management

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Job Family:

Data/Information Management

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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