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Quantitative Strategist, Corporate Treasury, Portfolio Strategy Dallas · · Analyst

Goldman Sachs Bank AG

Dallas (TX)

On-site

USD 90,000 - 150,000

Full time

22 days ago

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Job summary

Goldman Sachs is seeking a Quantitative Strategist for its Corporate Treasury team in Dallas. The role involves developing analytics for funding management and requires expertise in quantitative fields like financial engineering and programming. Successful candidates will leverage their analytical skills to drive strategic financial decisions while contributing to a diverse and inclusive work environment.

Qualifications

  • Expertise in quantitative analysis including mathematics, statistics, and programming.
  • Strong problem-solving skills and communication abilities.
  • 1+ years of relevant experience in quantitative roles.

Responsibilities

  • Develop software and analytics for risk management and optimization.
  • Engage with teams to report on risk and explain analytical trends.
  • Facilitate quantitative analysis on funding needs and strategies.

Skills

Mathematics
Statistics
Programming
Machine Learning

Education

PhD in Financial Engineering
Masters in Applied Math
Bachelors in Physics

Tools

C++
Java
Python

Job description

Quantitative Strategist, Corporate Treasury, Portfolio Strategy Dallas, Texas, United States

Corporate Treasury lies at the heart of Goldman Sachs, ensuring that businesses have the appropriate level of funding to conduct their activities, while optimizing the firm's funding costs and managing liquidity risks. We are responsible for managing the firm's liquidity, funding, balance sheet and capital to maximize net interest income and return on equity through liability planning and execution, financial resource allocation, asset liability management, and liquidity portfolio management.

In Corporate Treasury Engineering, you'll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us - a high return for the right risk taken. We own the analytics, methodologies, and infrastructure that facilitates the execution of Corporate Treasury's mandate.

Our Portfolio Strategy team is looking for world class quantitative analysts tobuild analytics on interest PnL as well as risk managed by Corporate Treasury. As part of our team, you will be involved in capital markets and banking initiatives, new business activities, firmwide strategic programs, risk reporting, and associated processes.

Your Impact:

By creating reporting and analysis to quantify funding needs and costs, Corporate Treasury Strat products are used to guide allocation of financial resources and strategies to minimize costs and hedge risks, including funding sourcing decisions. Successful Strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity.

Corporate Treasury Strats welcomes applicants with a PhD, a Masters, or a Bachelors in financial engineering, physics, statistics, applied math, orother quantitative sciences. Strong problem-solving skills, mathematical fluency, and programming abilities are required.

How you will fulfill your potential:

  • Develop software and analytics to progress Corporate Treasury's mandates: interest rate pricing & risk management, trade execution, funding optimization & liquidity risk management and cash & collateral management.
  • Optimize the firm's liability stack by developing balance sheet analytics and hedging strategies.
  • Actively engage with Corporate TreasuryCore team, supporting risk/P&L reporting and building analytics to explain trends.
  • Work withother Strats and technology departments to optimally leverage financial resources to achieve commercial priorities.
  • Perform quantitative analysis and facilitate business understanding of technical results.

Skills and experience we are looking for:

  • Expertise in an aspect of quantitative analysis, e.g., mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling.
  • Extensive background in object-oriented computer programming:C++, Java, Pythonor equivalent language, preferably in large scale financial or technical computation.
  • Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond pricing, curve construction, hedging strategies and risk management.
  • Excellent communication skills, including experience speaking to both technical and business audiences and working globally across multiple regions.
  • 1+ years of relevant, continuous experience.
  • 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.

    Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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