Asset & Wealth Management-Dallas-Vice President-Quantitative Strategist

The Goldman Sachs Group; Dallas (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking financial services firm as a Quantitative Strategist, where your advanced analytical skills and coding expertise will drive innovative solutions in investment and risk management. Collaborate with industry professionals to develop proprietary models that enhance decision-making and optimize financial strategies. This role offers the opportunity to work in a dynamic environment, leveraging your mathematical and programming skills to tackle complex challenges and contribute to the firm's success. If you are passionate about finance and technology, this is your chance to make a significant impact.

Qualifications

• 5+ years in a quantitative role within financial services.
• Proficiency in programming languages and statistical concepts.

Responsibilities

• Develop quantitative models for risk management and investment strategies.
• Collaborate with portfolio managers to identify decision-making insights.

Skills

Python

R

C++

Java

Mathematical Analysis

Statistical Analysis

Problem-Solving

Critical Thinking

Education

Advanced degree in Mathematics

Advanced degree in Physics

Advanced degree in Computer Science

Advanced degree in Financial Engineering

Job description

Asset and Wealth Management Division - Engineering

Goldman Sachs Quantitative Engineering is a leading developer of quantitative models and cutting-edge systems to solve complex business problems. Working with the firm's trading, operations, finance, sales, banking, and investing businesses, engineers use their mathematical and scientific training to create financial products, advise clients on transactions, identify market opportunities, assist in managing risks, and provide technical solutions to facilitate all business activities.

Goldman Sachs Asset and Wealth Management Division (AWM) is a key revenue-generating division of the firm. AWM Alternatives is the private side of Asset Management, investing in a broad range of global asset classes including Private Credit, Real Estate, Corporate Private Equity, Growth Equity, and Infrastructure worldwide. The AM Private Alternatives Strategists collaborate with investing and finance professionals to create quantitative models and web applications supporting all aspects of the investing and lending lifecycle. These models help structure, value, hedge, and risk-manage investments, with applications serving as interfaces to these models. Team members typically hold advanced degrees in Engineering, Computer Science, Mathematics, or Physics and collaborate proactively with global colleagues to implement optimal solutions.

Your Impact

Within Goldman Sachs Asset Management, quantitative engineers collaborate closely across asset classes to develop products for portfolio, fund, deal, and budgeting analytics and models.

We seek individuals with strong coding skills and a keen interest in finance. As part of our team, you will leverage your programming, mathematics, and logical thinking skills to develop applications that drive our success. Your analytical talents and innovative mindset will enable you to solve a broad spectrum of problems in a dynamic, fast-paced environment.

Job Overview

The Quantitative Strategist will design, develop, and implement quantitative models and algorithms for a financial services firm. This role involves working closely with portfolio managers, investing professionals, and other stakeholders to identify opportunities where quantitative analysis can support decision-making. The Senior Quantitative Engineer will also lead the development of proprietary models to enhance risk management and investment strategies.

Key Responsibilities:

• Develop and implement quantitative models and algorithms supporting risk management and investment strategies
• Perform statistical and mathematical analysis of financial data to identify patterns and trends
• Collaborate with portfolio and fund managers to pinpoint areas where quantitative insights can aid decision-making
• Lead the creation of proprietary models and algorithms for risk and investment strategy support
• Communicate findings clearly to stakeholders
• Stay updated on industry developments and emerging technologies

Qualifications:

• Advanced degree in Mathematics, Physics, Computer Science, Financial Engineering, or related fields
• Proficiency in programming languages such as Python, R, C++, or Java
• Strong grasp of mathematical and statistical concepts, especially in finance
• Excellent problem-solving skills and critical thinking
• Effective communication skills and team collaboration abilities
• Experience in financial markets, risk management, and time series analysis
• Knowledge of Corporate Finance and Financial Mathematics

Experience:

• Minimum of 5+ years in a quantitative role within a financial services environment
• Experience with financial modeling or industry-specific quantitative work is essential