Business Analytics Associate
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Posted on:
17 hours ago
Vacancies:
1 Vacancy
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Job Summary
You are a strategic thinker passionate about driving solutions inBusiness Analysis Reporting and Analytics and Fraud and Anomaly Detection. You have found the right team.
As aBusiness Analysis Associate Iwithin ourCorporate Investment Banking Payments Operationsteam 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
- Overseeend-to-end delivery for the Reporting and Analytics portfolio focused on fraud and anomaly detection across payments reconciliations and exceptions.
- Deliverad-hoc and recurring reporting and produce executive-ready materials that quantify impact and performance.
- Preparestatus updates proposals and business cases for senior leadership articulating ROI from detection and automation initiatives.
- Analyzecomplex transaction and operations datasets using advanced analytics to identify patterns outliers and typologies and to test actionable hypotheses.
- Developand apply statistical and machine learning models for classification time series and anomaly detection communicating assumptions and outcomes to stakeholders.
- Collaboratewith Technology and Operations to translate requirements into deployable capabilities including testing calibration and case-management integration.
- Strengthenrisk mitigation through root-cause analysis continuous improvement data quality controls drift monitoring and detection governance.
- Automatedata ingestion transformation scoring and alert routing by replacing manual workflows with reusable well-tested scripts and jobs.
- Recommendprioritized insights and action plans aligning cross-team deliverables and dependencies to achieve defined KPIs and outcomes.
- Builddashboards and visualizations that track risk and operational performance enabling stakeholder transparency and self-service analytics.
- Coachand delegate tasks to support team capability-building consistent execution and a culture of continuous learning.
Required qualifications capabilities and skills
- 4 yearsof 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 inSQL including complex joins window functions and performance tuning on large datasets.
- Hands-on proficiency inPython(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.
Required Experience:
IC
Key Skills
About Company
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 ov ... View more
