Quantitative Engineering

Goldman Sachs Bank AG
Dallas, US
On-site

Job Description

Our quantitative strategists are at the cutting edge of our business and solve real‑world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem‑solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast‑paced environment.

Responsibilities

As a strategist on our PWM Risk Stratsteam, you will work closely with a range of teams within the Asset and Wealth Management Division and across the firm. Collaboration involves various teams across risk management, fraud strategy and leadership. You will combine quantitative techniques and industry knowledge to build best‑in‑class models and tools that streamline risk management, detect fraud at scale, enable optimized data‑driven business decision making, and optimize profitability.

  • Risk management:

Develop quantitative stress‑based models and tools to manage firm’s counter party credit risk in wealth management.

  • Delivering valuation, risk metrics and quantitative analytics for financial and non‑financial risks across wealth management.
  • Developing and deploying ML models for fraud and anomaly detection as well as business workflows enhancement.
  • Building and maintaining robust and systematic risk management tools and reporting.
  • Collaborating on the design of new and existing strategies to address clients’ investment goals.
  • Developing and maintaining risk management and portfolio analysis tools across multiple asset classes for senior risk managers.
  • Building and maintaining infrastructure of strategists’ analytical systems.

Basic Qualifications

  • Bachelor or Masters in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering.
  • Programming and mathematical skills are required.
  • Creativity, problem‑solving skills, and ability to communicate complex ideas to a variety of audiences.
  • A self‑starter, should have ability to work independently as well as thrive in a team environment.
  • Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus.
  • Experience with building models using common data science toolkits, i.e., Python (Pandas, Num Py, Scikit‑learn) and Spark.
  • Previous work experience in: utilizing statistical methods, including time‑series and regression analysis; programming in object‑oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short‑term disability, long‑term disability, life, accidental death, labor accident and business travel accident insurance.

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health Services

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state‑of‑the‑art…

Skills & Requirements

Technical Skills

MathematicsProgrammingLogical thinkingQuantitative modelsMl modelsFraud detectionBusiness workflowsRisk managementPortfolio analysisAnalytical systemsPythonPandasNumpyScikit-learnSparkTime-series analysisRegression analysisObject-oriented languagesRelational databasesSqlProblem-solvingCommunicationTeamworkQuantitative financeComputational financeRisk managementFraud strategyPortfolio analysis

Employment Type

FULL TIME

Level

Mid-Level

Posted

4/11/2026

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