Radial

Quant Engineer

Radial • $120K — $145K *
Boston, MA 02115In-Person
Finance & Insurance
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Master's degree in a technical field (science, engineering, mathematics) with excellent academic record and 3+ years of experience in investment development; or Bachelor's degree with 5+ years of relevant experience.
  • Proficiency in Python, including libraries like pandas and sklearn, with a solid grasp of software development practices.
  • Experience with high-performance computing, containerization, and data processing pipelines.
  • Understanding of financial data series and experience optimizing data delivery platforms.
  • Strong analytical skills with the ability to present complex information in a clear manner.
  • Creative, enthusiastic, and able to work well in a self-starting environment.
  • Demonstrated strong work ethic and ability to meet project deadlines.

Responsibilities

  • Develop and enhance proprietary forecasting, risk, transaction cost, and attribution models.
  • Support and improve data platform and modeling infrastructure.
  • Collaborate with quantitative portfolio managers to create advanced analytics tools using machine learning.
  • Build systems for gathering, cleansing, and integrating data from diverse sources.
  • Learn and enhance the quant system design and tools used in investment processes.
  • Contribute to investment strategies integration projects, optimizing existing code for AWS environments.
  • Assist with daily operations and client requests for Equity Alternatives.

Benefits

  • Hybrid work environment with 3 days on-site in Boston weekly.
Full Job Description
Quant Engineer to work in collaboration with the Research, Portfolio Management and Data teams to develop and implement new models, architect solutions and build powerful analytic tools. This is an exceptional opportunity to help build out alpha, risk, transaction cost and portfolio analysis systems at the firm as part of an entrepreneurial team. The successful candidate will be integral to developing the platform and infrastructure for quantitative models used in our equity products. As a member of the investment team, this person will closely collaborate with PMs, quantitative researchers, and integration analysts.

Client supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You'll Be Doing:
  • Develop, validate and enhance our proprietary forecast, risk, transaction cost and attribution models on our quantitative research and production infrastructure.
  • Implement, enhance and support our data platform and modeling infrastructure.
  • Work with quantitative portfolio managers to build tools and software libraries to advance analytics platforms using machine learning techniques.
  • Build systems to gather, cleanse and integrate data from various sources for research and modelling needs.
  • Familiarize yourself with our quant system design, architecture and tool chain, be able to trace/debug/enhance components of an investment system. Learn about Equity Alternatives investment processes and production job workflow.
  • Make significant contributions to investment strategies integration project. Help to enhance and optimize existing codebase to run more efficiently in AWS environments.
  • Support Equity Alternatives daily operations, client requests and ad hoc enhancements. Enhance object model framework and codebase.

We're Looking for Teammates With:
  • Master's degree with an outstanding academic record in a technical field such as science, engineering or mathematics, with 3+ years of experience as a developer for an investment firm; Bachelor's degree with 5+ years of experience. CFA charter is a plus.
  • Hands on development experience in Python (pandas, sklearn, statmodels, cvxopt, etc). Familiar with popular machine learning algorithms and packages. Good understanding of software system development life cycles.
  • Experience in using and building high performance compute, containers, pipelines/scheduling and their relevant tools
  • Familiar with financial data series, building and optimizing data structures and operating data delivery platforms.
  • Advanced analytic skills and the ability to clearly articulate the approach, process and results in verbal, graphical and written form.
  • Creativity, enthusiasm, collegiality and the ability to excel in a self-starting environment.
  • Strong work ethic and roll up your sleeves attitude to deliver projects under tight schedule.
Hybrid 3 DAYS ON SITE

About Radial

Radial is a leading provider of e-commerce technology and operations solutions for retailers and brands. The company offers a range of services, including order management, payment processing, fraud detection, and customer care. Radial's solutions are designed to help retailers and brands improve their online shopping experiences, increase sales, and reduce costs. The company serves a wide range of industries, including fashion, beauty, electronics, and home goods. Radial is headquartered in King of Prussia, Pennsylvania, and has operations in the United States, Europe, and Asia.
Learn more about Radial
Size
7,000 employees
Industry
Business Services
Founded
1999
* Ladders Estimates

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