Advanced Analytics Associate Job Openings in Mumbai 2026!!!
JPMorgan & Chase announced job vacancy for the post of Advanced Analytics Associate.The place of posting will be at Mumbai.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | JPMorgan & Chase |
| Required Qualifications | Post Graduate |
| Skills | Python, PySpark, and SQL |
| Category | Predictive Science – Asset & Wealth Management |
| Work Type | Onsite |
| Closing Date | 24th July 2026 |
You are a strategic thinker passionate about driving solutions in Advanced Analytics, AI/ML, and data-driven marketing. You have found the right team. As an Associate within their Private Banking Business Intelligence & Advanced Analytics team, you will help define and deliver data-driven analytics and GenAI solutions for J.P. Morgan Private Bank sales and marketing, strengthening decision-making, client engagement, and workflow efficiency.
Job Details
Θ Positions: Advanced Analytics Associate
Θ Job Location: Mumbai
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 210757444
Roles and Responsibilities:
- Drive stakeholder engagement across business, technology, and global teams to deliver high-impact data and analytics solutions.
- Align analytics and AI initiatives to evolving business strategies and measurable outcomes.
- Monitor industry trends and emerging methodologies to maximize the value of internal platforms and applications.
- Analyze client behavior, investment patterns, sales funnels, segmentation, and personas to generate actionable insights.
- Embed descriptive, diagnostic, predictive, and prescriptive analytics into business decisioning.
- Strengthen data models and feature stores while improving data quality and reuse.
- Implement ongoing model monitoring and performance measurement to support a data-driven culture.
- Develop analytical frameworks for marketing measurement, including A/B testing and campaign effectiveness.
- Model ROI, cost of acquisition, lifetime value, and attribution approaches (e.g., MMM and multi-touch attribution).
- Build ML-based prediction and recommendation solutions for propensity, opportunity sizing, wallet share, and personalization.
- Support GenAI/agentic AI solutions that enhance advisor and marketer workflows (e.g., content/audience building, insights, sentiment).
Required Skills & Qualifications:
- Advanced quantitative degree (MBA or MS in Statistics, Math, Engineering, or related field) with Analytics/Data Science experience in Financial Services, Asset & Wealth Management, or Marketing.
- Proficiency in Python, PySpark, and SQL for large-scale data manipulation and analysis.
- Working experience with Pandas, NumPy, scikit-learn, and TensorFlow (or similar ML libraries).
- Experience with ML methods (regression/classification, clustering, SVMs, trees, neural nets).
- Expertise in ML techniques (feature engineering/selection, imputation, outlier handling, cross-validation, hyperparameter tuning, explainability).
- Excellent written and verbal communication skills, with the ability to translate findings into compelling narratives for diverse audiences.
- Demonstrated judgment, analytical rigor, curiosity, creativity, and critical thinking to simplify complex problems into actionable solutions.
- Ability to operate effectively in ambiguous, fast-evolving environments and adapt to shifting priorities and timelines.
- Strong time management and organizational skills with consistent delivery focus.
- Working knowledge of AWS and LLM/Foundation Model APIs (e.g., OpenAI, AWS Bedrock) to build GenAI solutions for synthesis, natural language querying, and conversational interfaces.
- Exposure to agentic AI, multi-step reasoning, RAG pipelines, and orchestration frameworks.
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Disclaimer:
The information provided on this page is intended solely for informational purposes for Students, Freshers & Experience candidates. All the recruitment details are sourced directly from the official website and pages of the respective company. Latest MNC Jobs do not guarantee job placement, and the recruitment process will follow the company’s official rules and Human Resource guidelines. Latest MNC Jobs do not charge any fees for sharing job information. Latest MNC Jobs strongly advise Students, Freshers & Experience candidates not to make any payments for any job opportunities.
