Senior Associate - Quantitative Insights in Wealth Management Solutions

Senior Associate - Wealth Management Solutions - Quantitative Insights

You are a strategic thinker passionate about driving solutions using quantitative and Data Science skills.  This role will provide the exposure that you need to be successful.

As a Vice President in the Quantitative Insights, Analytics & Advisory (QIAA) team in Wealth Management Solutions, you will oversee the end-to-end lifecycle of AI solutions, from design and development to deployment and continuous testing, ensuring all solutions meet rigorous regulatory and compliance standards.

Job responsibilities

• Develop and articulate the vision, roadmap, and quarterly plans for QIAA’s AI and Data Science team.
• Gain a deep understanding of the Managed Solutions Due Diligence team’s business processes and apply innovative AI and machine learning solutions to drive business enhancement.
• Establish robust testing frameworks and ensure solutions meet appropriate metrics, including implementing continuous automated testing throughout the solution lifecycle.
• Collaborate effectively with business partners, adjacent data science teams, and technology teams to design, develop, and launch impactful solutions.
• Maintain a rigorous controls environment, ensuring all data science solutions comply with relevant governmental procedures and regulatory requirements.

 

 

Required qualifications, capabilities, and skills

• 5+ years in quantitative/computational roles and an MS in Data Science or a related ML discipline (e.g., mathematics, statistics).
• Mastery of data science and ML methods, with strong LLM expertise (prompt engineering, context chunking, hyperparameters such as temperature).
• Proficiency in Python and SQL, with a solid understanding of cloud architecture (AWS, Azure) and experience with orchestration and pipelines for ML/AI workloads.
• Proven track record deploying LLM/AI solutions in production at scale, including design, build, testing, and CI/CD—with monitoring, observability, and responsible AI practices in place—especially within regulated environments.
• Excellent communication skills with the ability to translate complex technical concepts for both technical and non-technical audiences.

 

Preferred qualifications, capabilities, and skills

• Advance degree or equivalent experience in a quantitative, computational, or social science discipline.

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.

Experience Level

Mid Level