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Global Banking & Markets - FICC SMM Credit Strats-EMEA - Associate - Bengaluru

Goldman Sachs -
Bengaluru, Karnataka

Apply Now

Job details

Benefits

Health insurance

Qualifications

Pricing
Computer Science
Java
Master's degree
Databases
C++
C
Bachelor's degree
ETL
AI
Python

Full job description

WHO WE ARE

The Goldman Sachs Group, Inc. is 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 high-net-worth individuals. The firm is headquartered in New York and maintains offices in London, Frankfurt, Tokyo, Hong Kong and other major financial centers around the world.

YOUR IMPACT

As a Strat within the Global Banking & Markets Division, you will be the primary architect of the data ecosystem that powers the Credit Systematic Market Making (SMM) desk. This role is a unique blend of quantitative analysis, systems engineering, and emerging technology applied to algorithmic trading in Credit products.

You will be responsible for the end-to-end lifecycle of the desk's data—from sourcing and outlier detection to long-term curation—while combining your programming, mathematical, and market expertise to help generate systematic trading strategies. This position is designed for a high-performing individual who wishes to master the foundations of systematic trading, with a clear trajectory toward quantitative research and AI-driven strategy development.

GLOBAL BANKING & MARKETS DIVISION

Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced and changing environments.

JOB SUMMARY

Candidates joining the Credit Systematic Market Making (SMM) team will focus on the quantitative data foundation that drives our electronic market making in Credit products. The desk offers liquidity primarily in a principal capacity and trades with clients via vendor.

We are looking for "Data Strats" who understand that high-quality research starts with high-quality data. You will be responsible for sourcing diverse financial datasets and implementing rigorous cleaning and normalization protocols, while also contributing to the quantitative improvement of trading strategies and market microstructure analysis.

While your initial focus will be on data, this role offers a structured path to research. As you demonstrate mastery of the desk's data and pricing logic, you will have the opportunity to participate in research projects, eventually transitioning into a research-oriented role where you will leverage advanced AI tooling to develop systematic trading strategies.

RESPONSIBILITIES

Lead the sourcing and ingestion of internal and external datasets. Explore and deploy AI-driven tools to automate the identification of outliers and maintain "research-ready" datasets.
Automate common desk workflows and streamline the trading process to improve efficiency and scalability.
Understand and analyze market microstructure, incorporating findings into data pipelines and trading strategies.
Collaborate with the broader research team to leverage your "Golden Source" datasets for backtesting. Over time, take ownership of specific research workstreams and contribute quantitative improvements to existing trading models.
Actively research and trial new AI technologies to improve data integrity and generate alpha, keeping the desk at the forefront of technological innovation.

BASIC QUALIFICATIONS

Strong programming proficiency in Python (required) and C++ or Java
Bachelors or Masters in a STEM area (Computer Science, Mathematics, Physics, or Engineering)
Experience in quantitative data cleaning, ETL processes, and managing large-scale time-series datasets.
Experience building large software systems and working with large data sets.
A strong interest in algorithmic trading and in applying AI/ML techniques to financial data and market mechanics.

PREFERRED QUALIFICATIONS

Experience with KDB+/Q or other high-performance time-series databases.
Familiarity with fixed income pricing models and market microstructure.
Past experience developing large, scalable systems.
Demonstrated interest in transitioning into quantitative research through personal projects or prior experience.

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. 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. : https://www.goldmansachs.com/careers/footer/disability-statement.html©

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

We Offer Best-In-Class Benefits

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

Holiday & Vacation Policies

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health Services

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).

Child Care & Family Care

We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class-leading benefits our firm has to offer.

Opportunity Overview

CORPORATE TITLEAssociate

OFFICE LOCATION(S)Bengaluru

JOB FUNCTIONQuantitative Engineering

DIVISIONGlobal Banking & Markets

Apply Now

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