Sr. Data Engineer

MFS Investment ManagementBoston, MA
8dHybrid

About The Position

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters – to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures. THE ROLE The Sr. Data Engineer will play a critical role in enhancing and maintaining a data platform for execution and operations research within the trading department. The candidate will be working as a part of a team of Quantitative Trading Strategists to store new data sets, ensure reliability of data pipelines, build out additional capabilities across multiple asset classes. The Sr. Data Engineer will work across vendors and internal teams to ensure seamless, scalable data flows are built in an accessible way throughout the trading ecosystem.

Requirements

  • Bachelor’s degree in Computer Science or Engineering, with a focus on software engineering.
  • Minimum of three to five years of experience in a data intensive field.
  • Experience with Python, KDB/Q or other programming languages with a focus on interfacing with high volume data.
  • Experience working with large data sets, structured and unstructured
  • Experience with data visualization and concepts around display of data
  • Ability to work independently and proactively generate project ideas.
  • Strong interpersonal and communication skills.
  • Some international travel.

Nice To Haves

  • Knowledge of data science or statistics is beneficial.
  • Equity and fixed income quantitative background, market structure knowledge, plus experience with trading processes and/or transaction cost analysis (TCA).

Responsibilities

  • Design, build, and maintain scalable data pipelines to ingest data from numerous sources.
  • Proactively and independently work to enhance reliability of data capture.
  • Collaborate with team to develop processes to transform raw data into more usable data sets.
  • Find and action opportunities for automation in analytics production.
  • Implement robust data quality checks and enhance monitoring for data pipelines.
  • Partner with Quantitative Trading Strategists to improve current platform capabilities and performance.

Benefits

  • MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company -sponsored 401(k)
  • Education Assistance: MFS contributes $100 monthly up to $10,000 lifetime maximum directly to loan provider
  • Education Assistance: Tuition reimbursement up to $8,000 annually
  • Education Assistance: Access to discounted tutors and college coaches
  • Generous time off and fully paid leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves
  • Choice of medical and dental plans and an and an employer contribution into the Health Savings Account
  • Tax deferred commuter benefits & flexible spending accounts (medical & dependent care)
  • Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and access a wide variety of well-being apps
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