Assistant Vice President - Risk Analytics - Bank/Security Firm

Considering only Candidates based in Mumbai/Chennai, need F2F at later round of Interview-

Job Summary:

We are seeking an experienced and highly motivated individual to join our Risk Analytics team as an Assistant Vice President (AVP) of Risk Analytics. The successful candidate will lead the development and implementation of risk models, methodologies, and frameworks to manage and mitigate financial risks. This role requires extensive experience in risk management within the financial services industry, proficiency in quantitative analysis, and strong leadership skills.

Key Responsibilities:

- Risk Model Development: Lead the development and validation of quantitative risk models (e.g., Value- at- Risk, Potential Future Exposure) to assess and manage various financial risks.

- Financial Product Knowledge: Maintain an in- depth understanding of financial products, including derivatives, fixed income securities, equities, and foreign exchange.

- Risk Framework Enhancement: Collaborate with global Risk - Management teams in Tokyo, Singapore, Hong Kong, and London to enhance risk reporting frameworks and methodologies.

- Data Analysis & Validation: Oversee data analysis, validation, and reconciliation processes to ensure the accuracy and integrity of risk- related data.

- Python Programming: Utilize Python programming skills to build, maintain, and enhance risk models, perform data analysis, and automate risk reporting processes.

- Issue Resolution: Work with cross- functional teams to address issues identified during validation, reporting, and reconciliation processes.

- IT Collaboration: Collaborate with Global and Local IT teams to resolve technical issues and implement improvements in risk management systems.

Qualifications:

- Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related field. Advanced degree (Master's/PhD) preferred.

- 8- 12 years of experience in risk management, preferably within a bank or securities firm.

- Strong understanding of financial products and markets, including derivatives, fixed income, equities, and foreign exchange.

- Proficiency in quantitative analysis and risk model development.

- Advanced programming skills in Python; knowledge of other programming languages is a plus.

- Excellent analytical and problem- solving skills.

- Strong leadership and team management abilities.

- Ability to work collaboratively in a global team environment.

- Exceptional communication and presentation skills.