Quantitative Research Engineer

3 weeks ago

Boston, Massachusetts, United States Fidelity Investments Full time

Job Description:

In your role as Quantitative Research Engineer, you will work closely with quant researchers to understand their technology needs and deliver solutions for them, either through enterprising code written by research analysts or by building solutions directly yourself.

You will be responsible for a library of quant research tools shared by researchers across all asset classes.

Your work will span software engineering and quant research, using your knowledge of both good engineering practice, architecture, and agile development, along with domain expertise in research processes and quant datasets.

The Expertise and Skills You Bring

  • A Bachelor's degree, or higher, in computer science, engineering, mathematics, or finance.
  • 5+ years of software development and/or data engineering experience in quantitative finance.
  • Experience working in quant research environments, and with tools and datasets, at a best-in-class quant research group.
  • Proven track record working in agile environments to deliver high-quality solutions on time.
  • Significant experience with software engineering best practices and a track record delivering production-quality code.
  • Expertise with tools and technologies used in the quant research process including Python (Pandas and NumPy), R, and FactSet.
  • Experience implementing quant models, factors, or tools in both research and production pipelines.
  • Expertise in the software development lifecycle using agile techniques.
  • Familiarity with the quant research process and exposure to quant research across multiple asset classes.
  • Highly proactive and self-motivated with the ability to meet objectives under minimal direction.
  • Experience with Cloud-native platforms (AWS, Snowflake, etc.).

The Value You Bring

  • Use your skills and experience to develop a common library of utilities quant researchers can use across varied use cases, research workflows, and asset classes.
  • Refactor various quant research needs into reusable solutions and shape researcher requirements to better use common frameworks.
  • Support researchers in using the technologies you develop, providing documentation, education, and technology evangelism across various research groups.
  • Develop production-quality code with outstanding code coverage and regression testing across a suite of libraries. Handle aspects of the release process, dependency conflicts, and other production-related aspects to make the offering enterprise-grade.
  • Advocate for researchers' needs in design efforts covering backend systems like data management and code sharing.
  • Develop a roadmap, achieve your timelines, and provide guidance to executives on progress and key opportunities.

The Team

Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading, and Investment Operations functions.

We are seeking a Quantitative Research Engineer to join our Quantitative Research & Investing Technology organization.

This role will be part of our Quantitative Engineering team, which is responsible for architecting, developing, and maintaining a new quant research-oriented meta-data programming language.

The base salary range for this position is $85,000-$179,000 per year.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home.

These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.

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