Specialty Developer-Senior

New York, NY
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Our client, a leading global financial services company, has approximately 200 million customer accounts and does business in more than 140 countries. They provide consumers, corporations, governments and institutions with financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.



Description:



Risk ID – SVP – Quantitative Risk Analyst and Developer

The SVP - Quantitative Risk Analyst and Developer will join the Risk ID Data Science Team to perform analyses and develop tools for quantifying the top, emerging, and other material risks of the firm. This individual will evaluate alternative techniques for quantifying these risks and will execute quantification analysis in effective and efficient manner. Also, this individual will work with colleagues on assessments and ranking of these risks. This role will have a significant impact on the Risk ID Data Science program and the overall Risk ID program by completing complex deliverables, directly developing and maintaining tools, and providing advice and counsel related to technology or operations decisions.



The SVP - Quantitative Risk Analyst and Developer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Excellent communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.



Responsibilities:

• Performing scenario analyses to allocate/attribute impacts across businesses, geographies, and legal entities and describe risk factors driving the firm's results.

• Develop effective and innovative solutions to meet the needs of stakeholders with best practices technology and workflow solutions.

• Identify opportunities to add value beyond the scope of formal projects.

• Contribute to continuous team improvement and management, e.g., provide leadership in recruiting, coach junior staff, etc.

• Develop and document internal Risk ID Tools to improve workflows, assess risks, and facilitate analyses.

• Perform Data Science assessment and analyses as needed to meet business needs.

• Review, document, and maintain Data Architecture components of the Risk ID target state.

• Perform effective real-time analyses of risks using related news sources and Natural Language Processing.

• Develop easy-to-use and well-documented code libraries for Data Science analytics, workflows, interfaces, and data validation related to Risk Identification.

• Perform code reviews and collaborative codebase development to produce best-in-class effective and maintainable development without accruing technical debt.



Qualifications:

• 6-10 years experience in financial services (experience with risk management a plus).

• Ability to problem solve, sound business judgment, and demonstrated result orientation.

• Outstanding analytical and quantitative capabilities; history of academic and/or demonstrated professional excellence and achievement.

• Creativity and independent thinking.

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