Lead, Credit Risk Analytics
Company: MassMutual
Location: Hartford
Posted on: November 12, 2024
Job Description:
The OpportunityAs the credit risk analytics lead within the
Credit Risk Management team you will be involved with quantitative
model implementation, development, and analysis and their business
applications. The ideal candidate will join a quantitative team and
lead to enhance ERM's analytical and reporting capabilities, by
expanding the use of existing models and their business
applications as well as designing and developing new tools and risk
frameworks.You will work with capital, credit, market and portfolio
risk teams, and ERM more broadly. This is an excellent opportunity
to collaborate with -risk, investment and finance teams, and
enterprise technology (including data science) teams. -The TeamPart
of the Capital & Investment Risk Management team within ERM, the
Credit Risk Management team's mission is to manage portfolio
credit, counterparty, and country risks across the enterprise in
collaboration with key internal stakeholders in the Investment
Management and CFO, as well as external counterparts. Members of
the team bring expertise and experience across a range of risk
measurement and management disciplines, and also provide
comprehensive and insightful quantitative analysis to support
senior team management prepare recommendations that drive credit
strategy.The Impact
- Lead the efforts to automate and expand the use of Moody's
credit risk tools in place today and assist in building frameworks
with multiple business applications in capital, credit and
portfolio risk management.
- Lead and mentor junior quantitative analysts.
- Lead the efforts in building credit risk measurements and
credit VaR for various applications including portfolio
benchmarking.
- Assist in leading the efforts to implement, develop and enhance
ERM's analytical capabilities related to quantification of credit,
investment risks in the portfolio.
- Building on the existing data platform, lead efforts to process
data requirements or enhance existing data frameworks, understand,
and present data and analytics from insightful and actionable
perspective with MassMutual's wide range of asset classes.
- Assist in developing and syndicating new approaches for
measuring portfolio credit & market risk, in the context of
different accounting and capital regimes, including asset and
liability impacts, with a particular emphasis on economic
capital.
- Use of Python/ SQL in the analytical work. Also, use of
spreadsheets and VBA to do prototyping and analyze data.
- Lead complex initiatives including those are cross-functional
with broader impact in Credit Risk and become a key participant and
partner with those teams and stakeholders.
- Ongoing evaluation and/or review of risk measures of multiple
asset classes and interaction with first line risk takers
- Liaise and collaborate with business stakeholders, quantitative
model developers, technology.
- Assist the efforts to strengthen ERM's use and development of
tools and analytics to support derivatives counterparty risk &
portfolio concentration risk.
- Assist in expanding use of quantitative models to support
credit/ investment and capital risk analysis, and stress scenario
testing.
- Scope and implement modeling, including building out
requirements where not yet fully defined or understood.The Minimum
Qualifications
- Minimum 7 years of relevant work experience in investment
(credit/market) quantitative risk analytics
- Experience in leading projects in quantitative analytics
capacity.
- Moderate to high level skills in Python and SQL and development
skills
- Strong quantitative model development & implementation skills
and ability to validate analytical results.
- Experience in quantitative risk modeling across a wide range of
asset classes and relevant product knowledge in an investment
setting.
- Ability to process and understand various data requirements in
investment analytics.
- Bachelor's and/or Advanced degree in a quantitative
discipline
- Desire to use your quantitative and programming skills in a
hands-on setting to deliver new functionality.The Ideal
Qualifications
- 7-10 years of relevant work experience is desirable.
- Master's degree or PhD in Computer Science, Financial
Engineering, Mathematics, Physics, engineering or similar
quantitative discipline is preferred.
- Knowledge and experience working with public and private credit
securities, structured and real assets, derivatives and hedging
risk management.
- Experience in using Moody's Analytics credit risk tools.
- Previous experience working on liability driven investing
projects within an insurance company.
- Experience applying machine learning techniques and AI tools in
the financial industry.
- Experience in implementation & migration quantitative models to
cloud-based platform.What to Expect as Part of MassMutual and the
Team
- Regular meetings with senior leaders of the Credit Risk team
and the Capital and Investment risk team
- Close work and collaboration with subject matter experts in
ERM, Investment management & ETX project teams
- Focused one-on-one meetings with your manager.
- Access to mentorship - -networking opportunities including
access to Asian, Hispanic/ Latinx, African American, women, LGBTQ,
Veteran and disability-focused Business Resource Groups
- Access to learning content on Degreed and other informational
platformsAbout MassMutualWe've been around since 1851. During our
history, we've helped millions of people find financial freedom,
offer financial protection, and plan for the future.Today, we
continue to develop meaningful relationships with our customers by
building their trust, being knowledge problem solvers and always
prioritizing their needs. MassMutual is guided by a single purpose:
We help people secure their future and protect the ones they love.
As a company owned by our policyowners, we are defined by mutuality
and our vision to put customers first. It's more than our company
structure - it's our way of life. -#LI-IZ1MassMutual is an Equal
Employment Opportunity employer Minority/Female/Sexual
Orientation/Gender Identity/Individual with Disability/Protected
Veteran. We welcome all persons to apply. Note: Veterans are
welcome to apply, regardless of their discharge status.
If you need an accommodation to complete the application process,
please contact us and share the specifics of the assistance you
need.
Keywords: MassMutual, Arlington , Lead, Credit Risk Analytics, Other , Hartford, Massachusetts
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