Goldman Sachs Hiring Drive 2024: Goldman Sachs Hiring Drive 2024 for its Controllers – Quantitative Engineering – Analyst. Goldman Sachs Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a PhD or Master’s candidate in a quantitative field such as mathematics, physics, statistics, or engineering. if you are interested, please apply as soon as possible.
Company Name: Goldman Sachs
Role: Controllers – Quantitative Engineering – Analyst
Location: Bengaluru
Experience: 2-4 years
Qualification: PhD or Master’s candidate in a quantitative field such as mathematics, physics, statistics, or engineering
Batch: Any
Job Type: Full Time
Salary: 24.5 To 32.5 LPA (Expected)
Goldman Sachs Hiring Drive 2024
Job Description:
- Finance Engineering is responsible for designing and implementing solutions to manage the firm’s P&L, independently verify valuations, measure and optimize the firm’s capital, balance sheet and liquidity metrics, and regulatory obligations.
- Our global agile teams (based across Americas, EMEA, and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulatory for both regular business activity and under stress scenarios.
Requirements:
- Ph.D or Master’s candidate in a quantitative field such as mathematics, physics, statistics, or engineering
- 2-4 years experience in financial modeling
- Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus.
- Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java).
- Excellent communication skills including experience speaking to technical and business audiences and working globally
- Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team
Responsibility:
- Develop quantitative models in 3 areas
- Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments
- Revenue analysis and modelling that governs new activity review, valuation adjustments and signoff of daily P&L for all of market making desks
- Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape
- Provide ongoing testing and support for existing models
- Documentation and quality control of models.
- Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance
- Build strong relationships with business partners
- Identify opportunities for cross-divisional collaboration and reuse of common solutions
- Provide technical and functional guidance and leadership to junior members on a need basis
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