Quantitative Risk Analyst - LanceSoft Inc
New York, NY 10016
About the Job
The Opportunity:
The Capital & Investment Risk Management (C&IR) team within Enterprise Risk Management (ERM) is looking for a Quantitative Risk Analyst to support business initiatives in a highly collaborative environment.
As a quantitative risk Analyst, you will be involved with analysis of quantitative risk measurements, applying to business requirements, and supporting projects and tasks in building processes and risk frameworks.
The ideal candidate will work closely with a quant team (Developers and Analysts) to enhance ERM’s analytical and reporting capabilities in both quantitative and less quantitative but process driven applications. This is an excellent opportunity to collaborate with various teams from different disciplines within the enterprise.
The Team:
The Capital & Investment Risk Management team is responsible for the identification, measurement and analysis of the company’s portfolio, credit and capital risks. The team recommends risk management strategies and equips senior leadership with information they need to take advantage of opportunities and mitigate risks. Members of the team bring expertise and experience across a range of risk measurement and management disciplines, focused continuous improvement and development and business acumen.
Responsibilities:
The Capital & Investment Risk Management (C&IR) team within Enterprise Risk Management (ERM) is looking for a Quantitative Risk Analyst to support business initiatives in a highly collaborative environment.
As a quantitative risk Analyst, you will be involved with analysis of quantitative risk measurements, applying to business requirements, and supporting projects and tasks in building processes and risk frameworks.
The ideal candidate will work closely with a quant team (Developers and Analysts) to enhance ERM’s analytical and reporting capabilities in both quantitative and less quantitative but process driven applications. This is an excellent opportunity to collaborate with various teams from different disciplines within the enterprise.
The Team:
The Capital & Investment Risk Management team is responsible for the identification, measurement and analysis of the company’s portfolio, credit and capital risks. The team recommends risk management strategies and equips senior leadership with information they need to take advantage of opportunities and mitigate risks. Members of the team bring expertise and experience across a range of risk measurement and management disciplines, focused continuous improvement and development and business acumen.
Responsibilities:
- Assist the efforts to implement, develop, and enhance ERM’s analytical capabilities related to credit/market risk across a wide range of fixed income asset classes, derivatives, and equity.
- Data investigation/cleanup. Support projects in building processes which are not always quantitative which will support the quantitative frameworks.
- Building on company's current approach, assist in developing and syndicating a comprehensive framework for measuring portfolio credit & market risk, that considers different accounting and capital regimes, including asset and liability impacts, with a particular emphasis on economic capital.
- Build meaningful reports by asset class and comprehensive level, collaborating with the quant development and IT/engineering teams.
- Use of Python/ SQL. Also, use of spreadsheets and VBA to do prototyping and analyze data.
- Expand the use of Moody’s credit risk tools in place at Company today.
- You will scope and implement modeling, including building out requirements where not yet fully defined or understood. You will be agile, accountable, and resilient in driving results.
- Minimum 5 years of relevant work experience in investment (credit/market) quantitative risk analytics required.
- Experience in quantitative risk modeling, analysis and the business applications across a wide range of asset classes, preferably structured finance, other fixed income equity and derivatives required.
- Moderate level skills in Python and SQL required.
- Detailed oriented and work to find solutions in highly collaborative environment
- Desire to use your quantitative and programming skills in a hands-on setting to deliver new functionality.
- 5-7 or more years of relevant work experience is desirable.
- Bachelor’s degree or a master’s degree in computer science, Financial Engineering, Mathematics, Physics, engineering, or similar quantitative discipline is preferred
- Quantitative model development & implementation skills and ability to validate analytical results required.
- Knowledge and experience working with derivatives and hedging risk management.
- Experience in using Moody’s Analytics credit risk tools is desirable.
- Previous experience working on liability driven investing projects within an insurance company is desirable.
- Experience applying machine learning techniques in the financial industry is desirable.
- Bachelor’s degree required.
- Master’s degree in computer science, Financial Engineering, Mathematics, Physics, Engineering, or similar quantitative discipline is preferred.
- Graduate degree in a quantitative discipline preferred.
Source : LanceSoft Inc