Compliance Engineering - Surveillance & Models - Software Engineering - Ass at Goldman Sachs

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, JavaScript, TypeScript, React, Apis, Graphql, Elastic Search, Kafka, Kubernetes, Machine Learning, Ui/Ux, Software Testing, SdLC

Industry

Financial Services

Description

Are you passionate about developing mission-critical, high-quality software solutions, using cutting-edge technology, in a dynamic environment? OUR IMPACT We are Compliance Engineering, a global team of more than 300 engineers and scientists who work on the most complex, mission-critical problems. We: · Build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm. · Have access to the latest technology and to massive amounts of structured and unstructured data. · Leverage modern frameworks to build responsive and intuitive front end and Big Data applications. HOW YOU WILL FULFILL YOUR POTENTIAL As a member of our team, you will: · Partner globally with sponsors, users and engineering colleagues across multiple divisions to create end-to-end solutions · Learn from experts · Leverage various technologies depending on the team including Java, JavaScript, TypeScript, React, APIs, GraphQL, Elastic Search, Kafka, Kubernetes, Machine Learning · Be able to innovate and incubate new ideas · Have an opportunity to work on a broad range of problems, often dealing with large data sets, including real-time processing, messaging, workflow and UI/UX · Be involved in the full life cycle; defining, designing, implementing, testing, deploying and maintaining software across our products. QUALIFICATIONS A successful candidate will possess the following attributes: 1.Bachelor’s or master’s degree in computer science, Computer Engineering, or a similar field of study. 2. Expertise in Java development. 3. Experience in automated testing and SDLC concepts. 4. The ability (and tenacity) to clearly express ideas and arguments in meetings and on paper. Experience in some of the following is desired and can set you apart from other candidates: · UI/UX development · API design, such as to create interconnected services, message buses or real time processing, relational databases · Knowledge of the financial industry and compliance or risk functions, influencing stakeholders 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 © The Goldman Sachs Group, Inc., 2023. All rights reserved. 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.

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Responsibilities

The role involves partnering globally with stakeholders and engineering colleagues to create end-to-end solutions for preventing, detecting, and mitigating regulatory and reputational risk. Responsibilities include full software life cycle involvement, working on large datasets, and leveraging modern technologies for front-end and Big Data applications.