Statistical Quantitative Analyst

Suntrust   •  

Atlanta, GA

Industry: Accounting, Finance & Insurance

  •  

Less than 5 years

Posted 162 days ago

This job is no longer available.

Job Description
This position is a multi-level position (compensation grades 48 - 50).
Plays a key role in the development and implementation of market risk models and risk analytics tools as a part of Marker Risk Model Development group.Collaborating with internal partners to propose and test new market risk methodologies; overseeing model development (including programming, testing, and documentation)Work with the team's internal partners to design market risk methodology, including counterparty exposure risk methodology and valuation/hedging analytics, and develop models/tools to support the Bank's market risk management activities.Conducts comprehensive testing of out-of-the-box vendor models and related analyticsDirectly responsible for model development projects assigned at the team Manager's discretion. These projects are expected to encompass ALM modeling, mortgage, trading market risk modeling, and counterparty credit.Assist with validation and exam finding resolutions, and communicate with management, as necessary.

Qualifications

  • Master's or Advanced degree in a relevant field such as Economics, Engineering, or Mathematics, or Finance (Financial Engineering, Finance Theory, or Computational Finance or an equivalent combination of education and work related experience.
  • A minimum of three years of experience in the area of market risk model development, validation, or financial instrument pricing (fixed income securities, interest rate, equity or foreign exchange derivatives).
  • Working knowledge of financial products and their pricing methodologies including trinomial trees, Monte Carlo, and finite difference methods.
  • Proven experience in the design, implementation and testing of quantitative models.
  • Strong programing skills (i.e. MatLab, Python, SAS, R).
  • Practical knowledge of industry approaches and practices to analytical modeling in banking and financial services.
  • Self-starter, able to work with limited guidance and direction
  • Ability to communicate clearly and effectively to all levels of the organization
  • Familiarity with SAS or QRM frameworks a plus.

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