Director, Data and Analytics Engineer

Company Profile

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.

In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

Director, Data and Analytics Engineer in Jersey City, NJ. Identify fraud trends, investigate suspicious behavior and identify significant insights from different sets of data. Work with data to detect out-of-pattern money movement transactions, such as, but not limited to debit cards, Wire Transfers, and trading. Combine internal data with external intelligence to detect fraud as early in the fraud lifecycle as possible.

Create solutions to the trends identified by improving existing or creating new controls. Create effective solutions in improving efficiency using different analytical techniques and forecasting. Create rules in the rule’s engine and conduct pre- and post-production testing to ensure effectiveness. Partner with the Data Science team to develop fraud risk models. Use statistical methods to analyze data and generate useful business reports.

Communicate trends, findings, proposals and solutions to management and stakeholders. Measure performance using appropriate tools and techniques. Generate suspicious activity reports and risk management reports for management. Recommend or introduce new tools used for fraud detection, prevention and reporting activities. Creation of fraud strategy design for new product launches by defining risk thresholds. Telecommuting permitted up to Two (2) days per week.

• Requires a Bachelor’s in Economics, Data Science, Business Analytics or a related field
• Requires three (3) years of experience in the position offered or three (3) years as an Associate, Senior Consultant, or a related role.
• Requires three (3) years of experience with the following skills:
  Automated Tableau dashboard creation for real-time fraud strategy monitoring;
  PySpark;
  Spark;
  Hadoop ecosystems;
  Root cause analysis and detection of fraud reversal patterns in payment systems;
  Automation of batch data workflows using shell scripting;
  Stakeholder management for cross-functional fraud risk initiatives;
  Fraud risk management across banking products, including payment systems, transaction monitoring, and retail lending;
  Python; MS Excel;
  Tableau visualizations for KPI tracking and strategy creation in fraud management; SAS programming for risk reporting in fraud analytics; and SQL query design for fraud data aggregation and transformation.

• Application fraud detection leveraging third-party fraud scores and custom rule engines;
• End-to-end model monitoring using AUC, KS, ROC, Decile plots, and Gain charts for fraud analytics;
• Development and tracking of fraud Key Risk Indicators (KRIs) for retail lending portfolios;
• Integration and interpretation of third-party fraud scores including Experian Fraud Net, EWS, and Sentilink.

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back – aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.

At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every…