Job Description
Role Overview:
- The person will be part of the financial risk management team for a major Insurance client. He/She will work with different stakeholders to identify, communicate and measure risk associated with different model within the organization.
- The person will be responsible for development and implementation of risk models using analytics as per company compliance policies/ procedures.
- The person should have hands on experience in financial risk modeling, risk analytics and strong understanding of statistical and mathematical modeling.
- Portfolio analysis to establish future risks.
- Well versed with python and packages - NumPy, Pandas, Matplotib and other data analytics. Can carry out in depth analysis e.g. - Risk, Investment, etc.
- Understand Asset and Liability Pricing models.
- The person will also be required to participate actively in brainstorming sessions for improvement risk management of the organization.
- A suitable candidate should have 5+ years of experience in a similar role and should possess a go -getter attitude. He/She should be able to deal with ambiguity.
- Experience in life insurance preferred but not mandatory.
Key Responsibilities & Skillsets:
Common Skillsets:
- Superior finance, analytical and problem solving skills
- Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
- Good communication skill for client interaction
Financial Risk Management Skillsets:
- Background in Finance, Mathematics, statistics or related fields of study
- Good understanding of US market and the latest model risk guidelines such as SR11-7, CCAR
- Good knowledge of python, advanced Excel, VBA and knowledge of statistical packages and languages ( e.g., R, SQL)
- Professional certification CFA, FRM, etc. will be an added advantage
Data Management Skillsets:
- Ability to understand data models and exposure to ETL tools is preferred
- Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).
- Strong ability to understand functional specifications / technical requirements
Candidate Profile:
- Bachelor's/Master's degree in finance, mathematics, or related analytics areas
- 5-7 years' experience preferably in Life Insurance but not mandatory
- Strong and in-depth understanding of finance and risk analytics
- Financial risk management, risk analytics experience
- Superior analytical and problem solving skills
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
- Is able to understand cross cultural differences and can work with clients across the globe