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Goldman Sachs
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Global Banking & Markets - Ficcs Core Quant Strats - Associate

Global Banking & Markets - Ficcs Core Quant Strats - Associate

Goldman Sachs

1 - 5 years

20 - 25 Lacs

Bengaluru

Posted:1 week ago| Platform:

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Skills Required

Computer science Analytical Machine learning Data structures Calculus Investment banking Investment management Risk management Financial services Financial engineering

Work Mode

Work from Office

Job Type

Full Time

Job Description

Who We Are

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.

Are you a highly analytical and innovative quantitative professional with a passion for the derivative pricing? Do you want to participate in the creation of the next generation of pricing and structuring library?

We are looking for a Quant Researcher to join our Core Quant Strats team and help us change the way financial products are structured, priced and risk managed at Goldman Sachs. In this role, you ll leverage your expertise in mathematics, statistics and programming to develop and implement advanced quantitative models that directly impact our trading strategies and financial decision making.

We wear different hats

Develop, implement and back test sophisticated mathematical models for the pricing, calibration and risk management of a wide range of financial derivatives.
Conduct in-depth quant research on market vol dynamics, correlation structure to enhance existing models and identify new opportunities.
Work closely with traders, portfolio managers and tech teams to integrate models into proprietary trading systems.
Analyze large datasets to identify patterns and improve predictive power.
Impact our business by improving ability to serve clients and by directly reducing compute cost through more efficient algorithms.

Basic Qualification

Bachelors/Masters in Mathematics or Computer Science (STEM) or similar subject.
Strong quantitative skills in both probability and statistics.
Strong programming skills, including a clear understanding of algorithms and data structures.
Strong interpersonal, communication and presentation skills, both written and verbal.
Comfortable managing multiple stakeholders, driving consensus and influencing outcomes.

Preferred Qualification

Experience with machine learning algorithms.
Experience with derivative pricing and risk hedging using stochastic calculus
Experience building tools and payoff languages used by traders and structurers.

Goldman Sachs Engineering Culture

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Global Banking & Markets - Ficcs Core Quant Strats - Associate