Principal Quant Developer

Fidelity•Boston, MA

2d•Onsite

About The Position

The Principal Quantitative Developer is a core software engineering role in a dynamic, fast-paced quantitative development team. This role is embedded within the quantitative research team, partnering with investment teams on various projects including portfolio construction, risk management, and alpha research. The developer will contribute to building high quality, robust, and efficient analytical software solutions to improve investment processes. The team is responsible for developing, running, and supporting various Quantitative Tools in a cloud environment and communicating with customers. The role involves leading and owning the implementation of research projects through the entire software development lifecycle, applying a full-stack implementation. It requires intuitively applying advanced analytics and quantitative concepts to support investment needs and develop new solutions, adding scale, reliability, and repeatability to research through software development standard methodologies. The developer will also assist research teams in developing new models and products that provide a competitive advantage and thoughtfully apply sophisticated analytics and quantitative concepts to support investment needs and develop new solutions. An adaptive and effective team player with strong collaboration skills is essential.

Requirements

Bachelor's degree (or above) in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics
8 years of experience in complex software development and working with investment professionals
Deep understanding and implementation of software excellence concepts (Reliability, Extendibility, Resiliency, Flexibility, Pluggability, Intuitive Problem Solving, Risk mitigation, Tech debt, Scope, Estimation, Quality, CI/CD, Unit testing, Functional testing, Load testing, Parallel Processing, Resource Synchronization, Performance, Monitoring, Alerts, Logging, Tracing, Observability, Supportability etc.)
Advanced Experience in Analytical/Software Engineering skills including Python, Java, SQL and Linux.
Sophisticated understanding of quantitative techniques and methods, statistics, and econometrics – including probability, linear regression, and time series data analysis
Consistent track record in hands-on ‘development ownership’ of complex software solutions.
Ability to effectively connect with multiple partners, including fundamental and quantitative researchers, divisional partners and senior management
Thrive in working with fast-paced competing requirements and effectively delivering business needs

Nice To Haves

Substantial Experience with AWS cloud environment development and deployment is a plus.
Good experience in either equities, fixed income, or alternative asset classes

Responsibilities

Lead/Own the implementation of a research project through the entire software development lifecycle applying a full-stack implementation.
Intuitively apply advanced analytics and quantitative concepts to support investment needs and develop new solutions.
Add scale, reliability, and repeatability to research through software development standard methodologies.
Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace.
Thoughtfully apply sophisticated analytics and quantitative concepts to support investment needs and develop new solutions.
Develop, run, and support various Quantitative Tools in a cloud environment and communicate the same with customers.