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
