Analytics Solutions Associate

JOB DESCRIPTION

The Machine Learning Center of Excellence (MLCOE) at JPMorgan Chase leverages advanced machine learning methodologies alongside the firm’s distinctive data assets to enhance business decision-making across the organization. In this role, you will play a pivotal part in driving business performance through rigorous AI/ML model performance tracking and advanced data analysis of complex datasets to uncover trends, patterns, and correlations that inform actionable recommendations.

Job responsibilities

•  Do periodical monitoring of MLCOE’s AI/ML models, tracking key performance indicators (KPIs). Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations. 
• Investigate and triage alerts related to model performance, data anomalies, or system failures, escalating as appropriate.
• Identify opportunities to enhance monitoring frameworks, automate processes, and improve operational efficiency.
• Collaborate with others in the organization to develop new ideas and brainstorm potential solutions.
• Prepare regular reports on model health, incidents, and remediation actions. Maintain up-to-date documentation of monitoring processes and findings.
• Develop presentations to summarize and communicate key messages to senior management and colleagues.  
• Ensure monitoring activities comply with regulatory requirements and internal model risk management policies.
• Support the deployment of model updates, including validation, testing, and post-deployment monitoring. 
• Support MLCOE’s SOPs Management function as and when required.

Required qualifications, capabilities, and skills

• Formal training or certification on AI/ML concepts and 2+ years applied experience
• Experience in model monitoring, analytics, operations, or a related role
• Understanding of AI/ML concepts and model lifecycle management.
• Experience with data analysis tools such as  Python, SQL, Excel. 
• Strong data analysis and troubleshooting abilities.
• Excellent communication and documentation skills.
• Detail-oriented with strong organizational abilities.
• Ability to work collaboratively in a cross-functional, fast-paced environment.

Preferred qualifications, capabilities, and skills

• Familiarity with model risk management frameworks and regulatory guidelines.
• Exposure to cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
• Bachelor’s / master’s degree in computer science, engineering, data science, or business.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.