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Quant Data Engineer
Acadian Asset Management
Boston, MA, USA

Job Title

Quant Data Engineer

Job Description

Quant Data Engineer, Multi-Asset Class Strategies

Position Overview:

We are looking for a Data Engineer to join our Multi-Asset Class Strategies (MACS) team. This person will be primarily responsible for building the systems that acquire and provision data to support the MACS investment process. They will additionally support and enhance the tools that enable all aspects of our portfolio management process including model development, order generation, performance attribution, and reporting. MACS is a young and growing business at Acadian and focuses on all major global asset classes including equities, fixed income, currencies, commodities and options/volatility. As a member of the investment team, this person will collaborate with portfolio managers and quantitative researchers and will have opportunities to contribute to research and investment decisions.

What You’ll Do:

  • Design and build systems to acquire, validate, clean, and process data for use in models, portfolio construction, reporting and other processes
  • Work with portfolio managers, researchers and traders to identify new data sources
  • Build data and modeling pipelines that drive the investment decision systems
  • Enhance the data platform to facilitate faster onboarding of new data sets
  • Maintain all aspects of the daily investment process systems including production jobs
  • Participate in architectural design of data systems
  • Identify and implement performance enhancements to data pipelines
  • Engineer solutions that are well-tested, high quality and extensible

Restrictions

  • Telecommuting is OK
  • No Agencies Please

Requirements

We’re Looking for Teammates With:

  • Master’s degree with an outstanding academic record in a technical field such as mathematics, science, or engineering; 5+ years of experience as a developer for an investment firm
  • Hands on development experience with Python (Pandas, NumPy) for modeling/analytical work and SQL for data access and architecture; AWS or other cloud infrastructure
  • Proficiency in multi-asset class data series and operating data delivery platforms
  • Experience with industry standard investment tools such as Bloomberg or Refinitiv
  • Superior software, data modeling and programming skills to move quickly from concept to solution
  • Outstanding analytic skills and the ability to clearly articulate approach, process and results in verbal, graphical and written form
  • Creativity, enthusiasm, collegiality, and the ability to excel in a self-starting environment
  • Drive and humility to deliver on high-value projects and roll-up-your sleeves attitude

Why Work Here:

Acadian is a quantitative investment firm where ideas are empowered by technology. Our team is made up of a diverse mix of professionals who thrive in a culture that fosters ingenuity through collaboration and transparency. We offer a casual office environment, top-notch benefits, and excellent professional and personal development opportunities.

To apply for this position or view Acadian’s open roles, please visit the Careers section of our website at: http://www.acadian-asset.com/careers/Job-opportunities. We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at recruiting@acadian-asset.com.

It is the policy of Acadian Asset Management LLC to provide equal employment opportunity to all qualified persons without regard to race, creed, color, sex, age, national origin, marital status, veteran status, citizenship status, disability, or sexual orientation.

About the Company

Acadian Asset Management LLC is a Boston-headquartered investment management firm with wholly owned affiliates located in Singapore, London, and Sydney. As of March 31, 2022, the firm managed approximately US$110 billion on behalf of major pension funds, endowments, foundations, governments and other investors based in the U.S. and abroad.

Contact Info

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