Senior Manager

The Edge Partnership - The Edge in Asia; Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

The Edge Partnership – The Edge in Asia is assisting a leading global financial services group in Bengaluru to hire a hands-on Quantitative Risk Specialist. The role focuses on building and improving market risk models for VaR, RNIV and IRC across Rates, FX, Credit, Inflation and Equity products.

You will collaborate with Risk, Front Office, Technology and Model Validation teams, contribute to evolving risk frameworks including FRTB, and help strengthen model robustness and governance.

Qualifications

• 2–6 years in Model Development Market Risk within financial services.
• Strong understanding of financial markets and derivatives.
• Knowledge of derivatives pricing and quantitative modelling techniques.
• Strong analytical, data analysis and problem-solving skills.
• Proficiency in Python, R, Excel and VBA.
• Master’s degree or higher in a quantitative discipline.
• Knowledge of VaR, IRC, RNIV and market risk stress testing preferred.

Responsibilities

• Develop, maintain and enhance market risk models supporting VaR, RNIV, IRC and related capital metrics.
• Contribute to new model development across Rates, FX, Credit, Inflation and Equity products.
• Design and perform tests of model assumptions, methodologies and implementations.
• Investigate model issues, identify weaknesses and recommend improvements.
• Analyze complex datasets and model outputs to identify trends, anomalies and opportunities for enhancement.
• Work with Technology teams to specify, implement and test system changes.
• Strengthen operational controls and improve the robustness of risk models.
• Prepare clear analysis and reporting for working groups and senior management.

Skills

Market Risk

Model Development

Quantitative Analytics

VaR

Derivatives

Risk Modelling

Excel

VBA

Education

Master’s degree or higher in Mathematics, Statistics, Engineering, Computer Science, Quantitative Finance or a related quantitative discipline

Tools

Python

R

Excel

VBA

C#

C++

Job description

Our client is a leading global financial services organisation seeking a hands-on quantitative professional to join its Risk Analytics function. The role focuses on developing and enhancing market risk models supporting regulatory capital and internal risk management.

The successful candidate will work across VaR, RNIV, IRC and stress testing, covering asset classes including Rates, FX, Credit, Inflation and Equities. The role involves close collaboration with Risk, Front Office, Technology and Model Validation teams, with an opportunity to contribute to evolving market risk frameworks including FRTB.

Position Type: Permanent

Mode of Interview: Virtual

Experience: 2-6 Years in Model Development

Work Mode: Hybrid

Skills: Market Risk, Model Development, Quantitative Analytics, VaR, Python, Derivatives and Risk Modelling

Some of the key responsibilities will include:

• Develop, maintain and enhance market risk models supporting VaR, RNIV, IRC and related capital metrics.
• Contribute to new model development across Rates, FX, Credit, Inflation and Equity products.
• Design and perform tests of model assumptions, methodologies and implementations.
• Investigate model issues, identify weaknesses and recommend improvements.
• Analyze complex datasets and model outputs to identify trends, anomalies and opportunities for enhancement.
• Work with Technology teams to specify, implement and test system changes.
• Strengthen operational controls and improve the robustness of risk models.

Stakeholder Management & Reporting

• Work closely with Market Risk, Credit Risk, Front Office, Technology and Model Validation teams.
• Prepare clear analysis and reporting for working groups and senior management.
• Contribute to wider Risk initiatives and ad-hoc quantitative projects.

To be eligible for this role you will require:

• Experience: 2-6 years in Model Development Market Risk within financial services.
• Strong understanding of financial markets and derivatives.
• Knowledge of derivatives pricing and quantitative modelling techniques.
• Strong analytical, data analysis and problem-solving skills.
• Proficiency in Python, R, Excel and VBA.
• Master’s degree or higher in Mathematics, Statistics, Engineering, Computer Science, Quantitative Finance or a related quantitative discipline.
• Knowledge of VaR, IRC, RNIV and market risk stress testing preferred.
• Understanding of time-series analysis, probability theory, stochastic processes and stochastic calculus preferred.
• Exposure to C# or C++ is advantageous.
• Professional qualifications such as FRM, CQF or CFA would be an advantage.

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Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 7 business days, we regret to inform you that your application for this position was unsuccessful.