L/S Equities Data Engineer

Posted 12 Hours Ago
Be an Early Applicant
London, Greater London, England
Entry level
Financial Services
The Role
The L/S Equities Data Engineer will collaborate with the investment team to connect fundamental research with technology, developing AI applications, quantitative insights, and tools to support investment strategies while utilizing various technologies and programming languages.
Summary Generated by Built In

Summary

One of the firm’s long/short equities investment teams is seeking a data engineer to join their team. In this role, you will collaborate closely with the investment team to help bridge the gap between fundamental research and technological innovation.

A Career in Long/Short Equities at Point72

Long/short equity is Point72’s core investment strategy, and our success is dependent upon our investing teams, comprised of portfolio managers and research analysts.

What you’ll do

You will partner closely with an investment team to help connect fundamental research with data analysis and software solutions. Your projects will span both on-premises and AWS environments, leveraging technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and employing programming languages like Java, Python, and SQL.

Specifically, you will:

  • Work alongside a portfolio manager and team of analysts to explore and implement AI and machine learning applications within the team’s investment strategy.
  • Develop quantitative insights to aid the investment team in generating investment ideas.
  • Create tools and infrastructure to support and enhance the team’s quantitative efforts.
  • Integrate and process Compliance-approved data (structured and unstructured)

What’s required?

We are in search of an individual with a keen intellectual curiosity, a creative approach to problem-solving, and an entrepreneurial mindset. The ideal candidate is a proactive self-starter, ready to take the lead on projects with minimal oversight. No prior experience in fundamental equities or finance is necessary. The key qualifications include:

  • Bachelor's degree in computer science, engineering, or a related technical field, or equivalent practical experience
  • Strong proficiency in SQL and Python (with an emphasis on Pandas, PySpark, etc.)
  • Interest in Generative AI technology
  • Experience with cloud platforms, Terraform, CI/CD pipelines, Linux, Airflow, Databricks, Spark
  • Strong analytical skills and the ability to adapt to a rapidly changing environment
  • A commitment to upholding the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

  • Private Medical and Dental Insurances
  • Generous parental and family leave policies
  • Volunteer Opportunities
  • Support for employee-led affinity groups representing women, people of colour and the LGBT+ community
  • Mental and physical wellness programs
  • Tuition assistance
  • Non-contributory pension and more

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry's premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry's brightest talent. For more information, visit www.Point72.com/about.

Top Skills

Java
Python
SQL
The Company
HQ: Stamford, CT
1,691 Employees
On-site Workplace
Year Founded: 2014

What We Do

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

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