Quant Analytics Associate Senior - Management Information System

JPMorgan Chase & Co. • Plano, TX

5h

About The Position

Join our team as a senior quantitative analytics associate, where you'll
collaborate with business partners to design innovative, automated solutions
using cutting-edge technologies, driving operational efficiency in a dynamic,
learning-focused environment.

As a Quant Analytics Associate Senior within DART (Data, Analytics and Reporting
Team), you will play a crucial role in the DART MIS (Management Information
System) setup and will be tasked with delivering effective business solutions.
You will collaborate closely with various stakeholders and management levels to
ensure the delivery of the most optimal solutions. As a member of the DART team
you will leverage a broad technology suite to implement automated solutions and
deliver data driven insights.

Requirements

• 5+ years of hands on analytics experience delivering measurable business improvements, with a strong track record in operations analytics or MIS within complex environment Bachelor’s degree in a quantitative or technical field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science).
• Expert-level SQL (complex joins, window functions, CTEs, performance tuning) and strong Python (pandas, NumPy; unit testing with pytest; structured logging; packaging).
• Proven experience building automated data pipelines and operating in data lake/cloud environments (Snowflake; AWS services such as S3, Glue, Lambda; or equivalent).
• Strong data visualization experience (Tableau or equivalent), including KPI design, dashboard UX, and audience-specific storytelling.
• Working knowledge of machine learning and applied statistics for operations use cases (time series forecasting, supervised/unsupervised methods, feature engineering).
• Familiarity with data wrangling tools (e.g., Alteryx) and, as applicable, R for statistical analysis.
• Excellent verbal and written communication skills—able to synthesize complex analyses into concise executive narratives and visuals.
• Demonstrated ability to collaborate across functions and levels; influence decisions; and drive adoption of data solutions.

Nice To Haves

• Banking industry experience and domain knowledge (e.g., servicing/contact centers, payments/claims, fraud/disputes, collections)
• Experience with experimentation and causal methods (A/B testing design, uplift modeling, causal inference frameworks).
• Modern data engineering practices: orchestration (Airflow or equivalent), transformation frameworks (dbt), API integrations, and containerization (Docker) or comparable tooling.
• Performance and cost optimization in cloud data platforms; query/profile tuning for large-scale datasets.
• Exposure to risk and control frameworks; model documentation; audit and lineage standards in regulated environments.
• Certifications (e.g., AWS Data/Analytics, Snowflake, Tableau).

Responsibilities

• Own end-to-end MIS solution delivery: requirements gathering, metric definition, source data acquisition, modeling, transformation, validation, and visualization.
• Design and build reliable ELT/ETL pipelines in Python/SQL; implement orchestration, version control, and CI/CD to ensure repeatability and resilience.
• Create executive-ready dashboards and self-service data marts (e.g., Tableau) with intuitive UX and clear metric definitions.
• Apply advanced analytics (forecasting/time series, anomaly detection, segmentation, queuing/capacity planning) to optimize operational performance.
• Implement data quality frameworks (unit/integration tests, validation checks, anomaly monitoring), define SLAs/SLOs, and maintain runbooks.
• Translate complex findings into concise narratives for senior stakeholders; influence decisions with data-backed recommendations.
• Identify risks, opportunities, and value-unlock levers in operational processes; drive innovation in data management and automation.
• Manage the book of work, prioritize initiatives, and deliver projects on time; lead cross-functional teams as SME and mentor junior colleagues.
• Adhere to data governance, privacy, and control standards; ensure audit readiness, reproducibility, and clear documentation.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level