Associate - Derivatives Modelling & Hedging
3 weeks ago
**Job Purpose**
The Specialized Solutions group at Acuity Knowledge Partners provides services in the areas of financial analytics, mathematical modelling, market risk and derivative pricing to banks and financial services organizations. A significant part of these efforts involves analyzing, modelling, and preparing detailed reports on FX, Rates and Commodity Risk. As a Quantitative Finance Specialist, this position focuses on performing hedging analytics on financial market exposure and further maintaining and enhancing stochastic models used for such analysis and further documenting and monitoring the models on an on-going basis.
**Key Responsibilities**
- Provide support to client projects which involve engagements in the area of quantitative risk modeling and preparing reports/pitch books.
- Conversant with the market movements in FX and IR space, well versed with derivative products and hedging strategies.
- Maintain and enhance/develop stochastic models used in the quantitative analysis of FX and interest rate risk.
- Monitor the models on an ongoing basis and continuously enhance the models according to changing market conditions.
- Automate process associated with models in production.
- Guide programmers and technology analysts on implementing mathematical models into the firm’s solutions.
- Maintenance of tools, programming libraries and development and test environments to support model development and integration cycles.
- Document the models and the associated processes in a high level of detail.
- Lead model reviews and audits, either self-initiated or client initiated.
- Gain ongoing knowledge of accepted practices and current research in the areas of stochastic modeling and derivatives, though academic literature and respected financial journals.
**Job Requirements**
**Qualification**
- M.Sc Computer Science / Mathematics / Statistics / Financial Economics- CFA / FRM would be a big plus.
**Experience**
- 2-5 years
**Functional Competencies**
- Working knowledge in Stochastic Calculus, Linear Algebra, Differential Equations, Statistics, Simulation, Computational Methods and Numerical Analysis (working knowledge or coursework in mathematical finance will be an advantage).
- Working knowledge of financial markets and derivatives.
- Good knowledge of Python/R, MS Powerpoint, MS Excel and VBA.
**Behavioral Competencies**
- Excellent team player.
- Good verbal and written communication skills.
- High accuracy and attention to detail.
- Strong conceptual thinking and ability to challenge traditional thought process.
- Research mindset, strong analytical and problem-solving skills.
- Ability to work efficiently in an unstructured environment.
- Self-motivated, ability to multi-task and work under high-pressure situations.
- Build strong relationships and networks across different business lines.
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