Asset & Wealth Management - Quantitative Engineering - Associate - Dallas

Goldman Sachs • Dallas, TX

1d

About The Position

Job Overview: 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. Key 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 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., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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