Asset & Wealth Management - Quantitative Engineering - Associate - Dallas

Goldman Sachs • Dallas, TX

1d

About The Position

The Quantitative Engineer will be responsible for the design, development, and
implementation of quantitative models and algorithms for a financial services
company. This individual will work closely with traders, portfolio managers, and
other stakeholders to streamline reporting identify areas where quantitative
analysis can provide insights and support decision-making.

Requirements

• Advanced degree in a related field such as Mathematics, Physics, Computer Science, Financial Engineering or a related field.
• Strong programming skills in at least one language such as Python, C++ or Java
• Strong understanding of mathematical and statistical concepts, especially in finance
• Strong problem-solving skills and the ability to think critically
• Excellent communication skills and the ability to work well in a team environment
• Experience and interest in financial markets, risk management and portfolio management
• Minimum of 2+ years of experience in a quantitative role in a financial services company

Nice To Haves

• Background in equity or credit preferred
• Full stack development or Secdb/Slang experience preferred

Responsibilities

• Coverage all aspects of private business, with focus on validation, streamlining and reporting for illiquid and semi-liquid funds
• Develop and implement quantitative models and algorithms to support trading and investment strategies
• Conduct statistical and mathematical analysis of financial data to identify patterns and trends
• Collaborate with traders, portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making
• Communicate results and findings to stakeholders in a clear and concise manner
• Stay current with industry developments and new technologies

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees