The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is on a mission to revolutionize the firm's data and analytics journey, ensuring data quality, integrity, and security while utilizing it to promote decision-making. The CDAO harnesses AI and machine learning technologies to support commercial goals, develop new products, and enhance risk management. The Machine Learning Center of Excellence (MLCOE) is a leading AI & ML team that tackles real-world financial problems using the company's unique datasets and systems. The Time Series & Reinforcement Learning team (TSRL) within MLCOE is a dedicated group of ML engineers and former traders, focused on building AI systems across all JPMorgan’s lines of business. This role provides a unique opportunity to tackle complex challenges that significantly transform the bank.

As a Machine Learning Strategist for the TSRL team, you will play a strategic role in the development of AI/ML products and business across the Firm. Through a dual hybrid profile combining technical and business acumen, you will get to master the technical components and financial aspects of our current AIML platforms, and play a key role in deploying it further across existing and new business opportunities of high financial impact firm-wide.

Job Responsibilities

Integrate, learn and support the expansion of the TSRL Product & Business Development functions within MLCOE and with our clients. Gain full understanding of the TSRL AIML library and its various cutting-edge AI engines and platforms. Familiarize current and prospective partners with TSRL existing and prospective capabilities, while getting to understand client business models to identify new opportunities to apply our AIML solutions and develop new ones.   Get to know the current and prospective TSRL Book of Work, and cover the business, management and AI governance functions associated to each product and project. Partner with TSRL technical leads to optimize the communication on technical progress and management of stakeholder relationships. Assist the TSRL leadership team in driving strategy, growth and setting of priorities. Help source and prioritize new projects, assess business impacts whilst managing resource capacity and staffing. Promote the MLCOE amongst the wider AI/ML community, internally and externally, through business development and marketing.

Required qualifications, capabilities and skills

PhD in a quantitative discipline, e.g. Computer Science, Statistics, Economics/Finance, Engineering. Several years of working experience in financial services, machine learning or strategic consulting for VP position. Knowledge of machine learning techniques and of financial business foundations. Scientific thinking, ability to design and implement complex projects. Willingness to understand business problems, research literature for viable solutions, and formulate AIML prototype solutions. Solid written and spoken communication to effectively convey technical concepts and results to both technical and business audiences. Curious, hard-working, detail-oriented and motivated by complex analytical problems