Quantitative Fixed Income Strat, Analyst, AWM - London About Asset & Wealth Management Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm’s primary investment area, we provide investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are:
- Investors, spanning traditional and alternative markets offering products and services
- Advisors, understanding our clients’ priorities and poised to help provide investment advice and strategies that make sense for their portfolios
- Thought Leaders, providing timely insights across macro and secular themes to help inform our clients’ investment decisions
- Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals
About Fixed Income and Liquidity Solutions Fixed Income and Liquidity Solutions is an investment team with a global suite of products that delivers fixed income and money market portfolio solutions and manages assets for a broad range of clients such as pension funds, endowments, foundations, financial institutions, insurers and high net worth individuals. We focus on investing and advising clients across all sectors of the fixed income market, ranging from traditional investment grade products to more opportunistic/distressed investing.
Your Impact as a Strategist Within Goldman Sachs Asset Management, quantitative engineering strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with portfolio managers across asset classes, their invaluable quantitative perspectives on complex financial and technical challenges power our business and investment decisions.
As a member of our team, you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success. Your talents for research, analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
Whatever your background, you will bring a fresh perspective and unique skillset to our business. In return, you will be trained by our experts to navigate the complexities of the financial markets and state-of-the-art methods in quantitative finance.
An ordinary day is anything but. You may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, trading automation, data analysis and more. Whichever your area of contribution, your ideas will have measurable effect on our business and for our clients.
Who We Look For - We are interested in individuals who have strong analytical and coding skills and a passion to use technology to solve business problems.
Responsibilities - Working closely with portfolio managers to build quantitative models and tools to streamline portfolio management process
- Developing sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment.
- Developing quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve the portfolio construction process and improve portfolio performance
- Developing rigorous and scalable data management/analysis tools to support the investment process.
- Implementing mathematical models and analytics in production-quality software.
Qualifications - Background in a quantitative discipline (e.g. mathematics, engineering, physics, or computer science) with a preference for Masters and PhDs
- Strong mathematical and analytical skills
- Desire and ability to create innovative solutions to commercial challenges
- Proficient in at least one programming language, and proven experience in production software development life cycle (SDLC)
- Excellent communication skills
- A self-starter, should have ability to work independently as well as thrive in a team environment
Asset & Wealth Management - Associate Quantitative Strategist in Wealth Management Strats Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
Responsibilities As a strategist on our Private Bank team, you will work closely with our global deposits and lending business serving ultra-high-net-worth clients. You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability.
Responsibilities include:
- Product pricing: Streamline and improve how lenders set rates across its portfolio of products, using financial return-on-equity models
- Funding optimization: Design quantitative models to help understand and realize the value of the bank’s non-maturity deposits business for internal funding
- Risk Management: Develop quantitative models and tools to manage the private bank’s risk, such as developing a rate-sensitive prepayment model to improve hedging of the bank’s mortgage portfolio and develop tools for counterparty credit risk management.
- Scenario analysis: Build models to project the impact of various stress scenarios on the balance sheet and protect the bank by informing the firm’s capital adequacy under stress
About Goldman Sachs Wealth Management Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data, and design.
Basic Qualifications - Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering
- 1-3 years of experience in the job offered or related quantitative financial modeling and software development positions
- Programming and mathematical skills are required
- Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences
- A self-starter, should have ability to work independently as well as thrive in a team environment
Preferred qualifications: - Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL
- Previous work experience in: Developing bank loan and deposit pricing models and tools/models for risk management.
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.
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