A Career in Long/Short Equities at Point72 The Senior AI Researcher/Developer/Architect 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 doIdentify opportunities and develop technical roadmaps for AI solutionsScope, 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 SQLManage the product development lifecycle from ideation to deployment for owned solutions and mentor, guide junior members of the team on both architectures and development lifecycleLead collaborations across the firm, where appropriate, on AI/ML initiatives and techniquesDeliver analytics and insights to measure value of solutions deliveredPartner 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 requiredDemonstrated success leveraging AI/ML to drive/improve financial outcomes or similar / adjacent fieldsMinimum 5+ years of professional experienceDevelopment, ownership, and technical leadership of AI solutions, including model selection, fine-tuning, and ideally model developmentExcellent 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 Point72Point72 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 . The annual base salary range for this role is $250,000-$300,000 (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.
