Quant Analytics Senior Associate – Business Intelligence

Join a high-growth Business Intelligence and Analytics team where your work directly shapes commercial strategy through data. You will turn complex datasets into clear insights, build scalable tools, and introduce automation that helps teams act faster. If you enjoy partnering with stakeholders, telling compelling stories with data, and delivering measurable outcomes, this role offers broad exposure and meaningful impact.

As a Quant Analytics Senior Associate – Business Intelligence at JPMorganChase within Asset and Wealth Management, you will support the Global Liquidity and North America Institutional Sales teams with performance insights and strategic recommendations. You will partner with sales leadership and cross-functional teams to define success metrics, improve decision-making, and deliver timely intelligence. You will contribute to modern analytics capabilities, including automation and artificial intelligence (AI)-enabled workflows, while maintaining a strong focus on data quality, governance, and business outcomes.

Job responsibilities

- Deliver actionable performance insights for the Global Liquidity and North America Institutional Sales teams to improve sales effectiveness
- Build and maintain sales enablement tools that provide timely intelligence and clear recommendations
- Develop and operationalize AI-enabled insights and workflow enhancements that improve decision-making speed and quality
- Analyze large, complex datasets to identify trends, opportunities, and drivers of commercial outcomes
- Prototype statistical or machine learning models to support strategic business objectives and measurement
- Partner with technology teams to define data requirements and scale data models with appropriate lineage and governance
- Present clear, compelling stories with data and translate findings into recommendations for senior stakeholders

Required qualifications, capabilities and skills

- Three years of hands-on coding experience using Python, PySpark, and SQL
- Experience delivering business intelligence or analytics solutions that drive measurable business outcomes
- Working knowledge of AI concepts and practical applications in analytics, reporting, or sales enablement
- Experience working in Agile delivery environments with cross-functional product teams
- Proven experience designing, developing, and monitoring key performance indicators and performance measurement frameworks
- Strong stakeholder management and communication skills across business and technology partners
- Strong analytical and problem-solving skills, with the ability to work iteratively through evolving requirements and complex datasets

Preferred qualifications, capabilities and skills

- Experience in asset management or financial services, including exposure to distribution or institutional sales organizations
- Bachelor’s degree in business, analytics, data science, computer science, artificial intelligence, or a related discipline
- Proficiency with Microsoft Excel and Microsoft PowerPoint for analysis and stakeholder-ready storytelling
- Proficiency with Qlik Sense or Tableau for data visualization and self-service reporting