Rutgers New Start Career Network

Rutgers Edward J. Bloustein School of Planning and Public Policy mobile logo
New Start Career Network mobile logo

Job Information

SG Americas Securities, LLC Quantitative Advisor (Prime Services & Clearing) in New York, New York

Work with Risk & Scarce Resources (RSR) and ITEC teams as well as external Risk Systems vendors to resolve set up / modeling issues impacting Prime Risk margining and risk methodologies to ensure soundness of the models including daily support; Implement quantitative models to capture specific credit risks of the counterparty while ensuring high response time and quality; Carry out reviews and analysis requiring quick turnaround; Assess appropriateness of model inputs, calibration quality and reasonability of model outputs; Work to design and implement new margining and risk methodologies within Prime in accordance with Model Risk Management (MRM) framework; Work with RSR team and Sales by providing technical analyses of complex portfolios, specifically for new onboardings or in the event of client default; Work with Product Owners and RSR analysts to support new product offerings and developing models to accurately assess and measure risks; and Work closely with LOD2 / MRM on annual reviews and resolve any recommendations for Prime margining and risk models for which RSR is the owner. Telecommuting may be permitted up to 2 days per week. When not telecommuting, must report to SG Americas Securities, LLC, 245 Park Ave., New York, NY 10167. Salary: $152,506 - $275,000 per year.MINIMUM REQUIREMENTS: Master’s or U.S. equivalent in Statistics, Finance, Mathematics, Financial Engineering, or related field, plus 3 years of professional experience as a Quantitative Analyst, Investment Strategist, or any occupation/position/job title involving quantitative research and analysis for financial markets. Must also have the following special skills: 3 years of professional experience performing quantitative research, model review and validation, and Valuation for financial markets; 3 years of professional experience performing statistical analysis (including probability, advanced calculus, linear algebra, statistical methods, stochastic processes, and time series analysis), financial modeling, and risk management; 3 years of professional experience programming using Excel VBA, SQL, Python, R, and C++ or C#; 3 years of professional experience performing financial derivatives pricing and modeling, utilizing trading/hedging strategies, market risk, counterparty risk and credit risk management, model risk management, VAR, and Monte Carlo simulation; 3 years of professional experience implementing financial models and analyzing parameter and static data and model issues to resolve issues and answer queries; and 1 year of professional experience working with commodities, equities and rates listed and OTC products.

Minimum Salary: 152,506 Maximum Salary: 275,000 Salary Unit: Yearly

DirectEmployers