Asset & Wealth Management - Quantitative Engineering - Associate - Dallas

Goldman Sachs is a leading global investment banking, securities and investment management firm, and they are seeking a Quantitative Engineer. The role involves designing, developing, and implementing quantitative models and algorithms to support trading and investment strategies, while collaborating with various stakeholders to enhance decision-making processes.

What you'll do:

• 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 they're looking for:

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

Benefits:

• Training and development opportunities
• Firmwide networks
• Benefits
• Wellness and personal finance offerings
• Mindfulness programs