GBM - Public Dept-Bengaluru-VP-Quantitative Engineering

Goldman Sachs; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Goldman Sachs in Bengaluru is seeking an Analyst or Associate to join Resource Management Strats within the Counterparty Credit Risk & Funding and Capital Optimization teams. You will develop models and calculators to optimize capital and liquidity, collaborating with cross-functional teams across the Global Markets division.

The role emphasizes quantitative modeling, calibration, backtesting, and communicating findings to senior stakeholders, with opportunities to influence business decisions

Qualifications

• Strong academic background in quantitative fields.
• Proficiency in programming and numerical methods.
• Interest in financial markets and products.

Responsibilities

• Create innovative models and calculators to help drive Capital and Liquidity optimization as well the Counterparty Credit risk management effort across the Global Banking & Markets division with initial exposure to all the businesses in the FICC division.
• Apply Numerical optimization techniques to the minimization of the firm’s scarce resources (capital, initial margin, contingent liquidity).
• Develop a deep understanding of regulatory capital, methodology, and model implementation
• Stay abreast of industry best practices, regulatory changes, and advancements in quantitative finance and risk modelling.
• Interact with business leaders to explain your findings and drive their implementation

Skills

Quantitative background

Programming (C/C++, Python, Java)

Financial markets interest

Job description

Job Description:

Our Impact

Resource Management Strats:The Resource Management Strats Group is central to management decisions made by senior business leaders within the Global Markets Division, create actionable strategies to enhance business performance, and drive cross-business initiatives along with the leadership team. The group works across various functions (liquidity management, capital allocation, Fee and Expenses optimization, Counterparty Credit risk management etc.)

For this position, we are looking for an Analyst or Associate to work in the Resource Management Strats group across the Counterparty Credit Risk & Funding and capital optimization strats teams.

Counterparty Credit Risk Divisional Strats:For this position, the individual will focus on the development, validation, and implementation of advanced quantitative models used to measure and manage counterparty credit risk across various financial products and asset classes in FICC. The candidate will also perform model calibration, backtesting, stress and scenario analysis to asses model performance and robustness.

Funding and Capital Optimisation Divisional Strats:For this position, the individual will focus on the optimization of scarce resources (Capital and Liquidity) and should demonstrate strong statistical, quantitative modelling, and programming skills as well as excellent communication, presentation, and interpersonal skills. The current portfolio of projects has a significant impact to the bottom-line of the firm but because of the very bespoke nature of the mandate of the team, there is embedded flexibility to onboard any new ideas with commercial impact.

How Will You Fulfil Your Potential

• Create innovative models and calculators to help drive our Capital and Liquidity optimization as well the Counterparty Credit risk management effort across the Global Banking & Markets division with initial exposure to all the businesses in the FICC division.
• Apply Numerical optimization techniques to the minimization of the firm’s scarce resources (capital, initial margin, contingent liquidity).
• Develop a deep understanding of regulatory capital, methodology, and model implementation
• Stay abreast of industry best practices, regulatory changes, and advancements in quantitative finance and risk modelling.
• Interact with business leaders to explain your findings and drive their implementation

Skills and experience We Are Looking for

Basic Qualifications

• Strong academic background in quantitative fields
• Computer Science, Applied Mathematics, Physics, Engineering, Statistics
• Strong programming background in a structured language (e.g. C/C++, Python, Java)
• Interest in financial markets/products

Preferred Qualifications

• Commercial focus, team oriented, self-motivated - Ability to solve problems and to explain the ideas that underly them to clients and colleagues - Excellent writing and verbal communication skills
• Experience working on a trading desk
• Exposure to recent regulatory developments (CCAR, Basel III, Balance Sheet, LCR, NSFR)
• Intellectual curiosity, follow through

ABOUT GOLDMAN SACHS

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