A Career in Long/Short Equities at Point72
The AI Researcher/Developer will be embedded within the firm’s Discretionary Equity business, and will be responsible for identifying, developing, and building potential solutions that leverage Artificial Intelligence and Machine Learning in an effort to deliver differentiated insights and performance. In the near term, these initiatives may potentially provide investment professionals with better workflows, unlock differentiated insights, and drive efficiencies.
You will play a unique role by identifying key business problems and working to solve them by applying advanced AI/ML techniques. This includes building prototypes to prove out hypotheses and delivering production-grade capabilities to enable broad value creation for the firm.
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.
As part of the AI/ML community at Point72, our teams collaborate horizontally with one another and vertically with our AI Platform and Data Teams, and Compliance to define the AI Strategy for the firm including its infrastructure, architecture, models, and data needs.
What you’ll do
- Scope, prioritize, prototype and deliver AI projects to help solve key business problems for Discretionary Equity, spanning both on-premises and AWS environments, and leveraging technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and using programming languages such as Java, Python, and SQL.
- Manage the product development lifecycle from ideation to deployment for owned solutions and collaborations.
- Deliver analytics and insights to measure value of solutions delivered.
- Work with the Discretionary Equity AI team, and investment professionals to explore and implement AI and machine learning applications within teams’ investment strategies.
- Develop quantitative insights to aid investment teams idea generation efforts.
- Create tools and infrastructure to support and enhance the team’s quantitative efforts.
- Partner with groups across the firm on AI initiatives, including Technology and Compliance, to contribute to the firm’s AI Strategy.
- Partner internally to establish rigorous model governance practices, including testing, monitoring, and documentation to ensure solutions remain accurate and bias-free.
- 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
- Demonstrated success leveraging AI/ML to drive/improve analytical solutions
- Minimum 4+ years of professional experience or equivalent in an academic setting
- Excellent written and verbal communication skills
- Bachelor’s degree in computer science, engineering, or related field
- 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
- Mental and physical wellness programs
- Volunteer opportunities
- Non-profit matching gift program
- Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community
- Tuition assistance
- A 401(k) savings program with an employer match 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/working-here.
The annual base salary range for this role is $135,000-$185,000 (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.
