About this role
A Career with Point72’s Long/Short Equities Team
Long/Short Equity is Point72’s core strategy and its success is dependent upon our sector-based 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 you’re looking for a career at the forefront of investing.
What you’ll 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 problem-solving, and an entrepreneurial mindset for tackling challenges sometimes without obvious solutions. The ideal candidate is a proactive self-starter, ready to take the lead on projects. You will partner with Investment Services teams to identify opportunities and build approved adaptable systems that challenge off-the-shelf solutions. Your projects may span both on-premises 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 Compliance-approved internal and external data (structured and unstructured)
• Create tools and infrastructure to support and enhance the team’s 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
What’s Required
• 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.)
• 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 well-being. When you work here, we provide:
• Fully-paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led 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 industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.
The annual base salary range for this role is $150,000-$200,000 (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.
Company:
Point72
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)