drjobs AI Engineer LS Equity

AI Engineer LS Equity

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1 Vacancy
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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

A Career with Point72s Long/Short Equities Team

Long/Short Equity is Point72s core strategy and its success is dependent upon our sectorbased investing teams. Using fundamental research our research analysts inform the investment strategies of our portfolio managers. Through our Point72 University you have access to an unparalleled training and coaching curriculum to help foster your success. We offer you a clear path based on your abilities willingness to work hard and performance. Join us if youre looking for a career at the forefront of investing.

What youll do

Point72 is seeking an AI engineer to join a long/short equities investment team. In this role you will collaborate closely with the investment team to explore potential opportunities to utilize GenAI and machine learning applications. We are looking for an individual with a keen intellectual curiosity a creative approach to problemsolving and an entrepreneurial mindset for tackling challenges sometimes without obvious solutions. The ideal candidate is a proactive selfstarter ready to take the lead on projects. You will partner with Investment Services teams to identify opportunities and build approved adaptable systems that challenge offtheshelf solutions. Your projects may span both onpremises and AWS environments and potentially leverage 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 potential opportunities to utilize GenAI and machine learning applications in partnership with Compliance and Global Information Security
  • Integrate and process Complianceapproved internal and external data (structured and unstructured)
  • Create tools and infrastructure to support and enhance the teams quantitative efforts
  • Develop quantitative insights to potentially aid the investment team in generating investment ideas
  • Stay up to date on AI/ML market landscape trends and technological innovations to provide recommendations on new tools and methodologies for adoption

Whats Required

  • Bachelors 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.
  • Experience with Generative AI technology and LLMs
  • 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
  • Ability to work independently as well as collaborate across departments
  • Commitment to the highest ethical standards

We take care of our people

We invest in our people their careers their health and their wellbeing. When you work here we provide:

  • Fullypaid health care benefits
  • Generous parental and family leave policies
  • Volunteer opportunities
  • Support for employeeled affinity groups representing women people of color and the LGBTQ community
  • Mental and physical wellness programs
  • Tuition assistance
  • A 401(k) savings program with an employer match and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industrys brightest talent by cultivating an investorled culture and committing to our peoples longterm growth. For more information visitwww.Point72/about.

The annual base salary range for this role is $150000$225000 (USD) which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location work experience education and/or skill level among other things

Employment Type

Full Time

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