Job Description
Goldman Sachs
Quantitative Engineering - Associate
Full -Time
Bengaluru, Karnataka, India
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.
Any Degree
Freshers
1. Programming experience in C++, Java, or Python
2. Bachelors or Masters in a STEM area
3. Experience building large software systems and working with large data sets
4. Interest in algorithmic trading
As a Strat who sits in the Global Banking & Markets Division, you will play an integral role in the Credit Trading business. You may develop automated trading algorithms for the firm and its clients or create cutting-edge pricing models to provide insight into market behavior. You might be involved in analyzing exposures and structuring transactions to meet client needs or involved in designing and developing complex parallel computing architectures, electronic trading tools and advanced algorithms. Throughout the Global Banking and Markets Division, Strats use quantitative and technological techniques to solve complex business problems.
Candidates joining the Credit Systematic Market Making (SMM) are engaged in market making and its related functions in Credit and Muni products. The desk offers liquidity primarily in a principal capacity and trade with clients via vendor platforms and directly with clients intermediated by sales. Strats combine their programming, mathematical and market expertise to build and generate systematic strategies. The desk looks for individuals with strong programming experience, mathematical skills and who are motivated to get hands on experience with algorithmic trading.
