Quant Analytics Associate – Forecasting | JPMorgan Chase – Mumbai
Job Description
Summary
JPMorgan Chase is seeking a Quant Analytics Associate – Forecasting in Mumbai, Maharashtra. Join the Workforce Planning (WFP) Data Science team within Consumer & Community Banking (CCB) to deliver quantitatively driven solutions for demand forecasting, capacity planning, and resource scheduling. This role focuses on time-series forecasting, statistical modeling, and operational analytics to optimize contact center staffing, improve forecast accuracy, and support strategic business decisions. If you are passionate about Python, R, SAS, statistical modeling, and big data analytics in financial services, this is a unique opportunity to advance your career in quantitative analytics and forecasting.
Job Details at a Glance
| Detail | Information |
|---|---|
| Job Title | Quant Analytics Associate – Forecasting |
| Location | Mumbai, Maharashtra, India |
| Business Unit | Consumer & Community Banking (CCB) |
| Employment Type | Full-Time |
| Shift | Night |
| Experience | 3+ years in forecasting, data analysis, or workforce planning |
| Tools/Technologies | Python, R, SAS, SQL, Hive, Spark, SparkML, Trifacta, Alteryx |
| Application Deadline | 10/04/2025 |
| Application Link | Apply on JPMorgan Chase Careers |
Key Responsibilities
- Perform time-series forecasting to predict contact center demand at daily, monthly, and multi-year intervals.
- Conduct data analysis, inferential statistics, and modeling to improve workforce planning accuracy.
- Monitor and improve forecast accuracy, identifying drivers of variance and implementing corrective actions.
- Collaborate with cross-functional teams to develop integrated forecasts across multiple business lines.
- Present complex analytical results clearly to stakeholders, highlighting implications for business strategy.
- Identify opportunities to automate forecasting frameworks using Python or other analytics tools.
- Stay informed on industry trends, emerging technologies, and best practices in demand forecasting and analytics.
Required Skills & Qualifications
- MS/PhD in Statistics, Economics, Applied Mathematics, Data Science, Computer Science, or Engineering.
- 3+ years’ applied experience in business planning, forecasting, or quantitative analytics.
- Hands-on experience in time-series analysis, regression, moving averages, exponential smoothing, and auto-regression techniques.
- Proficiency in Python, R, or SAS, with ability to generate descriptive statistics, inferences, and visualizations.
- Strong analytical, problem-solving, and interpretive skills to extract insights from large datasets.
- Excellent written and verbal communication skills to convey findings to senior leadership.
- Quantitative mindset with ability to align analytics with operational and financial business objectives.
Preferred Skills
- Experience with big data technologies such as Hadoop, Spark, SparkML.
- Familiarity with SQL, Hive, Trifacta, Alteryx.
- Advanced understanding of call center operations, contact center metrics, and workforce planning practices.
- Applied technical skills in Python for forecasting and automation.
Why Join JPMorgan Chase
- Work on cutting-edge analytics and forecasting solutions that impact critical business operations.
- Collaborate with a dynamic team of data scientists, analysts, and operational leaders.
- Contribute to innovative workforce planning processes supporting one of the largest consumer banking divisions.
- Grow your career in a diverse and inclusive environment that values expertise and innovation.
Apply Now
Advance your career as a Quant Analytics Associate – Forecasting at JPMorgan Chase, Mumbai. Take an active role in time-series forecasting, operational analytics, and workforce planning optimization.