THE ROLE
Using discretion and judgment, focused on building mathematical and data analytical models to support the Investments and Trading functions for MFS Investments, a leading diversified multi-asset Investment management firm. This Engineer will build innovative solutions leveraging the concepts and models from the Applied Math, Statistics and Data Sciences. These custom solutions will be used to enhance investment implementation process, optimize trading costs, and gain operational efficiencies. This position will work closely with the trading teams, investment personnel, systems analysts, and architects in building quantitative solutions.
In addition, the candidate needs to display deep interest in the investment or trading functions, strong analytical skills, and intellectual curiosity. We expect the candidate to have strong communication and collaborative skills to be able to work with various stakeholders on the investments, trading, and technology teams. Contribute to a variety of phases during the software development lifecycle with a focus on creating software at an advanced level with an adherence to standards and internal best practices.
WHAT YOU WILL DO
Is accountable for meeting assigned project objectives including timelines and internal standards. Works on the most complex projects and provides innovative suggestions for solutions.
Provides technical support to sustain a highly efficient and reliable technology environment across the trading markets.
Keeps technical skills up to date with a strong desire to evaluate new products and technologies. Makes recommendations and pursues the adoption of such products and technologies.
Receives broad goals and overall objectives from Product Owners and collaborates with technology teams under MFS's agile framework in achieving those goals.
Develops, enforces, and maintains MFS Information Security controls, procedures, and standards.
WHAT WE ARE LOOKING FOR
REQUIRRED
2-5+ years professional experience.
Bachelor's degree in data sciences or Applied Math or Statistics with significant programming experience; Or Computer Sciences with strong Math background.
Excellent coding skills in Python (preferable) or R; Familiarity with using relational and nonrelational databases.
Strong quantitative and problem-solving skills using complex, high-volume, and high dimensionality data, preferably in the Investment management industry.
Understanding of advanced analytics, statistical and data science techniques. Demonstrated experience implementing models using large data sets.
Self-starter, and ability to communicate effectively and collaborate with traders, portfolio managers and business analysts.
Strong interest in the Investment management and Trading functions.
Experience working within a mature SDLC model; working closely with BA and QA teams as well as end users to drive solutions to completion
PREFERRED
Familiarity with financial industry data (Bloomberg, , tick level data, etc.)
Keen interest to learn new technologies and experiment with innovative solutions.
Familiarity with the data visualization (Tableau and charting libraries).
Experience with Cloud platforms (AWS or Azure) and technology capabilities.
Experience working in a continuous integration environment, i.e.. automated build and code scanning is preferred.
Experience with open-source data analysis packages (Spark, Pandas, Numpy, Scipy) preferred
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