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Goldman Sachs
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Associate

Associate

Goldman Sachs

2 - 6 years

20 - 25 Lacs

bengaluru

Posted:None| Platform:

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Skills Required

computer science c++ front office machine learning swaps market data investment banking risk management financial services python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Front-office Strategists ( Strats ) are responsible for building quantitative and technological edge to drive business evolution within the firm s Global Banking & Markets division. Some sit on individual trading desks, where they develop models to price derivatives, evaluate risks and hedges, and understand market behavior. Others work across desks, building large-scale quoting and risk platforms or optimize division-wide capital deployment, or across venues, pushing the frontiers of low-latency and algorithmic trading on exchanges and electronic channels. All play an integral role on the trading floor at the intersection of quant finance and commercial decision-making.

Responsibilities

As an IRP Strat, your responsibilities may include, but are not limited to:

Pricing and risk management of non-linear rates, from vanilla options to callable exotics: building, maintaining and enhancing pricing models, quantitative risk management and quoting methodologies, and tools used by the trading desk for complex risk analyses.
Pricing and risk management of one-delta rates, from SOFR swaps to Treasury ETFs: synthesizing swap curves and NAV bases from market data, identifying relative-value opportunities across markets, and building out our systematic market-making strategy.
Partnering with engineering teams to build and deploy scalable high-performance trading platforms which utilize cutting-edge proprietary and emerging technologies including cloud-based and AI architectures.

Basic Qualifications

Undergraduate or advanced degree in computer science, engineering, math, physics or similar
Strong programming experience, preferably in a high-performing language such as C/C++/Java or Python (with NumPy, Pandas, etc.)
Demonstrated interest in financial markets and quantitative finance, e.g. stochastic calculus or statistical arbitrage/signals
Strong communication and interpersonal skills

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New York

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