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Associate, Quantitative Engineer, Mortgage Strats, Global Banking & Markets

Employer
Goldman Sachs
Location
New York, USA
Salary
Competitive
Closing date
Apr 6, 2023

View more

Job Function
Banking
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
Goldman Sachs' Strats business unit is a world leader in developing quantitative and technological techniques to solve complex business problems. Working within the firm's trading, sales, banking and investment management divisions, strats use their mathematical and scientific training to create financial products, advise clients on transactions, measure risk, and identify market opportunities.

Your Impact

Securities Strats play important roles in several areas. Strats aligned with trading desks are responsible for pricing and risk models to provide insight into market behavior of securities, loans, derivatives and other complex financial instruments. Strats develop mathematical models and implement analytics that assist in monitoring, analyzing and managing risk by desk traders as well as senior management. Strats are also responsible for development and maintenance of infrastructure for pricing and risk management of trade and investment positions

Responsibilities
  • Development of pricing models related to mortgage backed securities, loans, and derivatives
  • Development and calibration of statistical credit and prepayment models for measuring default, prepayment and severity of mortgage and asset backed securities and loans.
  • Development and support of analytical tools and infrastructure to help trading desk with daily trading activities, valuation and risk management
  • Analyze data and develop surveillance reports to monitor collateral and deal performance
  • Help trading desk analyze trading ideas, hedging strategies, and ROE optimization
Basic Qualifications:
  • Academic background in any of relevant field - (STEM - Statistics, Computer Science, Math, Financial Engineering) (Masters or Phd Preferred)
  • 1-4 years o f front office quant/modeling experience in mortgages asset classes.
  • Meaningful experience coding in an Object oriented programming language such as C, C++ and Python.
  • Comfortable working with Database/Statistical software such as R, SQL
  • Collaborative teamwork skills and ability to communicate to both technical and non-technical audiences verbally and in writing
ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2021. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$225000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here .

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