The AI Engineer, Investment Services will be responsible for exploring opportunities to develop and build potential solutions that leverage GenAI and Machine Learning in an effort to deliver innovative, GenAI driven products that seek to enhance the firm's business processes and enterprise intelligence.
You will play a unique role by designing and implementing advanced GenAI/ML techniques and applications to solve key business problems across various departments with an aim to enhance operational intelligence, efficiency, and decision-making capabilities. This includes building prototypes to prove out the potential value of proposed AI solutions and transforming successful prototypes into robust, production-grade capabilities to enable opportunities for 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 Python, Java, 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. This position offers immediate impact and growth opportunities, allowing you to apply your skills while advancing in modern AI integration and engineering.
What you’ll do
Identify opportunities and develop technical roadmaps for GenAI solutions
Scope, prioritize, prototype and deliver GenAI projects to help solve key business problems for Point72’s Investment Services teams. Your work/projects will span both on-premises and AWS environments, leverage technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and use programming languages such as Java, Python, and SQL
Lead collaborations across the firm, where appropriate, on GenAI/ML initiatives and techniques
Deliver analytics and insights to measure the value of solutions delivered
Partner with groups across the firm such as Technology and Compliance on GenAI initiatives
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
Bachelor's degree in computer science, engineering, or related field
Minimum 5+ years of professional experience
Demonstrated success leveraging AI/ML to drive/improve business outcomes
The ability to develop, own, and provide technical leadership over AI solutions, including model selection, fine-tuning, and ideally model development
Excellent written and verbal communication skills
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 LGBT+ 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. 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
The annual base salary range for this role is $175,000-$225,000 (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.