Risk-Bengaluru-Analyst-Software Engineering

Risk-Bengaluru-Analyst-Software EngineeringBengaluru, Karnataka, India

The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm.

Risk Business

The Risk Business identifies, monitors, evaluates, and manages the firm’s financial and non-financial risks in support of the firm’s Risk Appetite Statement and the firm’s strategic plan. Operating in a fast paced and dynamic environment and utilizing the best in class risk tools and frameworks, Risk teams are analytically curious, have an aptitude to challenge, and an unwavering commitment to excellence.

Overview

To ensure uncompromising accuracy and timeliness in the delivery of the risk metrics, our platform is continuously growing and evolving. Credit Risk Engineering combines the principles of Computer Science, Mathematics and Finance to produce large scale, computationally intensive calculations of risk Goldman Sachs faces with each transaction we engage in. Credit Risk Engineering has an opportunity for an Analyst level Software Engineer to work across a broad range of applications and extremely diverse set of technologies to keep the suite operating at peak efficiency.

As an Engineer in the Risk Engineering organization, you will have the opportunity to impact one or more aspects of risk management. You will work with a team of talented engineers to drive the build & adoption of common tools, platforms, and applications. The team builds solutions that are offered as a software product or as a hosted service. We are a dynamic team of talented developers and architects who partner with business areas and other technology teams to deliver high profile projects using a raft of technologies that are fit for purpose (Java, Python, Snowflake , Cloud Computing ( AWS ), S3, Spark, ReactJS, among many others). A glimpse of the interesting problems that we engineer solutions for, include acquiring high quality data, storing it, performing risk computations in limited amount of time using distributed computing, and making data available to enable actionable risk insights through analytical and response user interfaces.

Basic Qualifications

Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline with 6 months - 2 years of working experience
Willingness to learn new things and work with a diverse group of people across multiple geographical locations
An eagerness to grow as a Software Engineer
Proficiency in Java, Python or another Object-Oriented Programming language
A clear understanding of data structures, algorithms, software design and core programming concepts

Preferred Qualifications

Experience with one or more major relational / object databases including cloud databases like Snowflake
Interact with business users for resolving issues with applications.
Performance tune applications to improve memory and CPU utilization.

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

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.