As a Quantitative Developer / Software Engineer, the ideal candidate will draw on their knowledge of financial models and software development principles to help architect technology solutions for a fast-paced market-driven environment. A background or understanding of credit analytics and the investment market will help you in working closely with portfolio managers, quantitative strategists, subject matter experts, data scientists, and other development resources to research and build features, components, and analytics for a new Credit platform. This role requires Python and SQL programming ability and comfort in learning emerging cloud-based (AWS) technologies.

The Team

This position will be part of Portfolio Management’s Quantitative Research and Development (R&D) team within Investment Management. The team has a primary focus and responsibility for researching new ideas and strategies and for developing underlying technologies and analytics across all of Portfolio Management’s programs. As part of R&D, you will have numerous opportunities to learn, develop, and apply new skills using the latest technologies within a continuously evolving business and market landscape. Our flat and collaborative Investment Management environment and inclusive culture will encourage you to contribute ideas and participate in a wide range of initiatives across the department.

The Impact

The Credit Project is one of two core projects for the R&D team. The aim of the project is to build the following capabilities, components, and analytics for the Credit Program:

Monitoring of the ETF market for new opportunities
Identifying real-time price dislocations and anomalies
Comparing relative value of different asset instruments
Back-testing and analyzing large sets of historical data for evaluating new ideas and strategies

To successfully meet the above goals, this role will have accountability for performing the following:

Work with the Credit Portfolio Manager and Strategist to research and develop best-in-class market analytics
Leverage cloud solutions and implement web applications, tools, and APIs
Develop and provide unit, integration, and regression tests
Undertake broader special research and development projects as needed
Collaborate with data science and colleagues in other areas of MassMutual for modelling and analytics

The Minimum Qualifications

Bachelor's Degree, preferably in Computer Science, Information Technology or STEM
3+ year of Quantitative or Investment experience
Strong Python and SQL development knowledge
Background in cloud-based solutions, including AWS, Lambda, S3 and/or SES
Code management and testing

The Ideal Qualifications

Graduate degree in Applied Mathematics, Computer Science or Quantitative Engineering

What to Expect as Part of MassMutual and the Team

Regular meetings with the Portfolio Management stakeholders and R&D team members
Focused one-on-one meetings with your manager
Access to mentorship opportunities
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 platforms
Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits