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Asset & Wealth Management - AM AI Strats - Associate - Bengaluru
Bengaluru, Karnataka, India
·
On-site
·
Full-time
·
5d ago
What We Do
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.
Who We Look For
Goldman Sachs is seeking an AI Engineer to join our AI Strats team. As an AI Engineer, you will leverage your expertise in quantitative analytics, statistics, artificial intelligence, and software development to architect and implement AI-driven technologies with the goal to enhance revenue generation, capital saving, operational efficiency and foster innovation within the firm.
In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with finance. As an AI Engineer, you will tackle the unique challenges associated with embedding intelligence in the asset management. Join us in pushing the boundaries of what is possible at the intersection of finance and artificial intelligence!
How You Will Fulfill Your Potential
- Design, implement, and deploy scalable AI models & agentic workflows to drive commercial outcomes.
- Lead rigorous experimentation and data-driven analysis to continuously improve AI model effectiveness for business use cases.
- Collaborate proactively with stakeholders across the Asset Management business to accelerate the delivery of AI driven solutions that drive tangible commercial outcomes.
- Champion the development, testing, and maintenance of reliable, production-ready software solutions.
Qualifications
- A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
- Proficiency in Python.
- Excellent understanding of the AI ecosystem, experience with common open-source software.
- Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.
Goldman Sachs Engineering Culture
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., 2026. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
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About Goldman Sachs

Goldman Sachs
PublicGoldman Sachs is a multinational investment bank and financial services company providing investment banking, securities, and investment management services. The firm serves corporations, financial institutions, governments, and individuals worldwide.
45,000+
Employees
Lower Manhattan
Headquarters
Reviews
2.6
10 reviews
Work Life Balance
1.8
Compensation
4.2
Culture
2.1
Career
2.9
Management
2.0
25%
Recommend to a Friend
Pros
High compensation and competitive salaries
Talented coworkers and good teamwork
Prestigious work environment
Cons
Poor work-life balance and long hours (70+ weekly)
Toxic and cutthroat competitive culture
High stress and burnout risk
Salary Ranges
21,066 data points
Junior/L3
Junior/L3 · Operations Analyst
739 reports
$85,281
total / year
Base
$78,910
Stock
-
Bonus
$6,371
$63,253
$116,211
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 60%
Negative 40%
Interview Process
1
Application Review
2
Phone Screen/HireVue Video Interview
3
Superday/Panel Interview
4
Final Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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