MORE ABOUT THIS JOB The Marquee team at Goldman Sachs delivers digital products and services to our institutional clients. We design and build highly-scalable solutions allowing access to Goldman Sachs' content, data, analytics, risk and execution services. These solutions transform client experiences while generating new revenue streams and business models. Our strategic initiatives disrupt the status-quo by innovating new businesses that unlock the power of Goldman Sachs for our clients.
Our team of engineers, designers, product managers and salespeople collaborate to drive progress within digital finance. We surround ourselves with big thinkers who thrive on tackling fresh challenges and uniting around a common vision. We move fast, embrace change and welcome fresh perspectives. Help us build the future of finance while positioned at the center of global markets.
RESPONSIBILITIES AND QUALIFICATIONS As a Data/Risk Engineer you will be expected to deliver Goldman Sachs' research, data and pricing to clients using Marquee's APIs and quant libraries. Determining client requirements will require interaction with clients of Goldman Sachs, in addition to traders, sales people and fellow strategists across all lines of business and cross asset class. Delivering best-in-class solutions will necessitate leveraging your strengths in software engineering and knowledge of valuation and risk management, across all asset classes.
Design and implement scalable APIs for data and risk calculation, modification and storage
Expression of market data in various coordinate systems and mappings between them
Work in a fast-paced environment as a self-starter
Strive for personal and collaborative excellence in everything you do
Collaborate efficiently within a diverse global team spanning multiple continents
Build consensus across teams; think and implement stable and scalable designs to support the Firm's focus on system convergence and externalization
Client focus: think of APIs as a service and provide internal and external users with outstanding SLAs
Bachelor's Degree in a relevant field: Computer Science, Mathematics, Physics, Engineering
Knowledge about popular design patterns and algorithms
Excellent programming skills in a major programming language
Experience designing scalable and reliable systems, with a focus on APIs / modularity
Efficient and effective communication skills
Knowledge of financial markets, particularly from a quantitative viewpoint
Ability to support a trading desk or external clients under significant time pressure
Knowledge of ElasticSearch / NoSQL databases (certain roles)
Experience working with large-scale low-latency distributed systems (certain roles)
Experience architecting, designing, and developing applications on a Public Cloud Service e.g. AWS (certain roles)
ABOUT GOLDMAN SACHS 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.
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 .
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https:// www.goldmansachs.com/careers/footer/disability-statement.html