The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

The Machine Learning Center of Excellence (MLCOE) is a world-class AI & ML team continually advancing state-of-the-art methods to solve a wide range of real-world financial problems using the company’s vast and unique datasets and systems. Our work spans across all of JPMorgan’s lines of business including the Corporate & Investment Banking, Asset Wealth Management and Consumer & Community Banking, through every part of the organization from sales, trading, client servicing, operations, technology, finance and more.

Our Time Series & Reinforcement Learning team (TSRL) within MLCOE is a passionate group of ML engineers, researchers and former traders and bankers focused on building AI inductive reasoning systems across all JPMorgan’s lines of business. Through unparalleled access to businesses across the firm, this role offers a unique opportunity to explore novel and complex challenges that profoundly transforms 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.

Primary 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.

Qualifications

• 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