JPMorgan Applied AI ML Global Financial Crime Data 

United States, New Jersey, Jersey City 

384088504

On the Corporate Oversight and Governance Technology AI/ML team we solve challenging and impactful problems across a wide range of Corporate functions. We are a fast-paced, growing team that provides solutions for more than ten functional pillars such as financial crimes, trade surveillance, legal, audit, resiliency, regulatory management, etc. We work closely with business stakeholders and partners to deliver revolutionary ways to build stronger business programs, address business pain points and improving efficiency and effectiveness.

As an Applied AI ML Director, you will lead a team of data scientists at the forefront of innovation to solve complex business problems by leveraging the cutting-edge AI/ML algorithms. You are expected to provide in-depth AI/ML expertise as well as practical strategies for the business partners and drive delivery of effective solutions. You will partner with business stakeholders and machine learning engineers to formulate, develop, evaluate, and determine the most appropriate strategic and tactical approaches

Job responsibilities

• Lead and mentor a team of data scientists to conduct comprehensive data analysis, identifying trends, patterns, and anomalies to support strategic decision-making for the Global Financial Crime Compliance business.
• Design, communicate, and develop machine learning solutions to complex business problems based on solid understanding of business processes and limitations for fraud detection.
• Collaborate with and influence business partners to drive data-led transformations of the businesses.
• Own machine learning project lifecycle activities and execute on crucial timelines and milestones with a results-driven mindset.
• Document AI/ML solutions and manage internal and external reviews/exams by different groups (Model Risk, Audit, Regulators, etc.).
• Effectively engage and communicate solutions and status to senior management and stakeholders.
• Form a strategic vision with business stakeholders by identifying opportunities for AI/ML to make an impact

Required qualifications, capabilities, and skills

• Ability for strategic thinking and distilling complex findings into key messages to influence partners and stakeholders in a positive way and facilitate collaboration.
• At least 10 years of relevant experience in statistical modeling and applied AI/ML domains with a proven track record.
• In-depth expertise and extensive experience with leading impactful AI/ML projects.
• Strong programming skills with Python, R, or other equivalent languages.
• Proficient in SQL and working with large datasets and handling complex data issues in the context of large-scale enterprise database systems.
• Experience with a broad range of analytical toolkits, such as Spark, Scikit-Learn,XGBoost, graph analytics, and neural nets.
• Demonstrated experience in working with machine leaning engineers to deploy ML models in production environments.
• Excellent solution ideation, problem solving, executive communication, and teamwork skills.

Preferred qualifications, capabilities, and skills

• Familiarity with ML engineering and developing ML models within AWS or other cloud platforms.
• Familiarity with modern NLP methods and LLMs
• Experience in the financial services industry