Asset & Wealth Management - AM MAS Analytics Strats - Analyst - Quantitative Engineering - Analyst Hyderabad, Telangana, India
GOLDMAN SACHS
- At Goldman Sachs, we connect people, capital, and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals.
ASSET MANAGEMENT
- Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Critical to our success is our ability to leverage a global team of talented professionals to define solutions and lead change across the operational infrastructure.
QUANTITATIVE STRATEGISTS
- Quantitative Strategists collaborate with Portfolio Managers, Traders, and Sales professionals to analyze portfolios, build risk management tools, and deliver client reporting for a broad set of instruments across global financial markets. We develop suite of tools encompassing a host of analytics and financial models to not just help in day-to-day management of the portfolio but also to be able to share them with clients to deliver on a seamless client experience.
RESPONSIBILITIES
- As a quantitative strategist your responsibilities will include
- Working closely with portfolio managers, sales professionals and traders to build quantitative models and tools to streamline portfolio management process
- Understanding both business and technical requirements, and ability to serve as a conduit between portfolio managers, quantitative researchers, technology and other stakeholders
- Developing sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment
QUALIFICATIONS
- Self-motivated learner with strong analytical and problem solving skills
- Strong written/verbal communication skills: the ability to communicate complex ideas in a simple and intuitive way
- Interest in and willing to learn financial and business concepts
- Ability to work independently as well as thrive in a team environment.
- Proficient in at least one programming language, and proven experience in production software development life cycle (SDLC)
- Passion and self-motivation to deliver technology solutions in a dynamic business environment.
- Experience in data pipelines and databases is a plus
- Understanding of the following technologies is a plus: RESTful APIs(NodeJs/Python), SDLC tools (Git pipelines), Cloud Deployment
Goldman Sachs Engineering Culture
- At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
- Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!
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