💰 $50,000 - $100,000 🌍 United States of America 📅 07/05/2023
Apply##### Job Description :
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
* 1+ year of Quantitative or Investment experience
* Strong Python and SQL development knowledge
* Strong background in cloud-based solutions, including AWS, Lambda, S3 and/or SES
* Understanding of web frameworks
* Proclivity for automation
* Code management and testing
##### **The Ideal Qualifications**
* Experience at an investment firm in a market setting
* Working knowledge of statistical models and predictive analytics
* Graduate degree in Applied Mathematics, Computer Science or Quantitative Engineering
* Key technologies: Dash, Flask, Git, SQLAlchemy, FastAPI, REST API, WebSockets, PostreSQL, and related tools and open-source packages
##### **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
