Business Analytics Associate at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Analysis, Reporting, Analytics, Fraud Detection, Anomaly Detection, Data-Driven Insights, Automation, SQL, Python, Statistical Modeling, Machine Learning, Data Visualization, Root-Cause Analysis, Hypothesis Testing, Feature Engineering, Excel

Industry

Financial Services

Description

You are a strategic thinker passionate about driving solutions in Business Analysis, Reporting and Analytics, and Fraud and Anomaly Detection. You have found the right team. As a Business Analysis Associate I within our Corporate Investment Banking Payments Operations team, you will be responsible for improving operational efficiency, advancing strategic initiatives, and enabling service excellence through data-driven insights, automation, and strong cross-functional partnership. You will lead the Reporting and Analytics portfolio for fraud and anomaly detection across payments operations, delivering executive-ready reporting, dashboards, and ROI-driven business cases. You will analyze complex datasets and partner with Technology and Operations to deploy models and automation, strengthen controls, and improve risk outcomes and operational efficiency. Job Responsibilities * Oversee end-to-end delivery for the Reporting and Analytics portfolio focused on fraud and anomaly detection across payments, reconciliations, and exceptions. * Deliver ad-hoc and recurring reporting and produce executive-ready materials that quantify impact and performance. * Prepare status updates, proposals, and business cases for senior leadership, articulating ROI from detection and automation initiatives. * Analyze complex transaction and operations datasets using advanced analytics to identify patterns, outliers, and typologies and to test actionable hypotheses. * Develop and apply statistical and machine learning models for classification, time series, and anomaly detection, communicating assumptions and outcomes to stakeholders. * Collaborate with Technology and Operations to translate requirements into deployable capabilities, including testing, calibration, and case-management integration. * Strengthen risk mitigation through root-cause analysis, continuous improvement, data quality controls, drift monitoring, and detection governance. * Automate data ingestion, transformation, scoring, and alert routing by replacing manual workflows with reusable, well-tested scripts and jobs. * Recommend prioritized insights and action plans, aligning cross-team deliverables and dependencies to achieve defined KPIs and outcomes. * Build dashboards and visualizations that track risk and operational performance, enabling stakeholder transparency and self-service analytics. * Coach and delegate tasks to support team capability-building, consistent execution, and a culture of continuous learning. * Required qualifications, capabilities and skills * 4+ years of experience analyzing complex datasets and translating insights into business outcomes with strong stakeholder communication. * Strong statistical foundation (hypothesis testing, probability, sampling, regression) and experience with imbalanced/noisy datasets. * Proficiency in SQL, including complex joins, window functions, and performance tuning on large datasets. * Hands-on proficiency in Python (e.g., pandas, numpy, scikit-learn) or equivalent for data preparation, modeling, and automation. * Experience building and evaluating detection analytics (rules and ML), including feature engineering, tuning, thresholding, and metrics (precision/recall, ROC/PR AUC, F1). * Ability to explain model decisions to non-technical audiences; familiarity with explainability and model governance concepts. * Advanced Microsoft Excel (pivot tables, lookups, VBA/macros) and strong PowerPoint skills; working knowledge of Visio and Word. * Understanding of business process analysis/modeling and the software delivery lifecycle (requirements, testing, deployment, change management). * Experience working with large, multi-source datasets and designing reproducible, version-controlled workflows. Preferred qualifications, capabilities and skills * Cash Operations domain experience across payment rails and exception management; familiarity with fraud/anomaly detection typologies. * Experience delivering automation that improves operational efficiency, alert triage, and investigator effectiveness. * Exposure to AWS services (e.g., Athena, S3, Glue, Lambda); familiarity with SageMaker/EMR, Spark/PySpark, or Kinesis is a plus. * Curiosity and aptitude for ML applied to business problems, including time series forecasting, anomaly detection, and rules-to-ML migration. * Experience leveraging AI tools, including LLMs, to enhance analysis and productivity (e.g., summarization and narrative generation). * Experience with BI/analytics tools (Tableau, Spotfire, Alteryx, Qlik/Qlik Sense) for dashboarding and analysis. * Knowledge of modern data engineering practices, including orchestration, testing, and monitoring. 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

The associate will lead the Reporting and Analytics portfolio for fraud and anomaly detection across payments operations, delivering executive-ready reporting, dashboards, and ROI-driven business cases. Responsibilities include analyzing complex datasets, deploying models and automation with Technology and Operations, and strengthening risk mitigation through continuous improvement and data quality controls.