Business Analyst Jobs

Industry: Financial Services – Investment Banking

Job Category: Finance / Accounting – Risk Management

Reporting into the Head of Financial Crimes Transaction Monitoring, this new position has been created for the purpose of establishing GFCD Operations Intelligence & Analytics capabilities.

One of several key positions in the new Global Financial Crimes Division Operations function, this position will be responsible for (1) helping to identify detection scenarios, (2) provide analytics support for developing, tuning, optimizing and modifying segmentation to improve transaction monitoring and screening systems, (3) customer segmentation (4) helping to coordinate the implementation of scenarios, which detect financial crime and (5) create statically representative samples to ensure that risk is not missed below the threshold. The incumbent is responsible for supporting leadership to ensure a globally consistent effort that enables continuing improvement to the transaction monitoring capabilities and further mitigate potential financial crime.

Major Responsibilities:

• Process large amount of data for statistical modeling and graphic analysis.
• In connection with the Global Financial Crimes program – Develop mathematical or statistical theory to interpret customer KYC data and historical transaction data to group customers and non-customers into segments in order to monitor their activity in the correct thresholds.
• Analyze the clusters/relationships and present the information to Senior Managers in the data visualization tools.
• Coordinate with regional Intelligence & Analytics teams to implement on the global model.
• Support large strategic optimization and segmentation program to enhance and tune GFCD Transaction Monitoring Program.
• Work collaboratively across functional teams within GFCD to ensure effective and efficient operations with clearly defined roles and responsibilities.
• Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.
• Perform model validation, memorializing model selection rationales and defined assumptions.
• Develop and test experimental designs, sampling techniques, and analytical methods in order to monitor new typologies and emerging risks.
• Help develop of models involving tuning, calibration, segmentation and optimization.
• Recommend customer segmentation and optimization for GFCD monitoring system across multiple lines of business.
• Develop data mining methodologies, including logistic regression, random foresr, xgboost and Bayesian networks.
• Identify relationships and trends of historical transactional data for clustering for AML transaction monitoring.
• Create statistical representative samples for ATL/BTL testing in order to validate that the transaction monitoring model is effective and functioning accordingly.

Qualifications:

• 5 plus years’ of financial services data analytics or statistics experience
• Familiarity implementing, testing or evaluating performance of financial crime and compliance systems.
• Familiarity with vendor models like Hotscan, Actimize SAM/WLF, SearchSpace, RDC, Bridger Insight, ACE Pelican, TCH OFAC Screening (EPN), FICO Credit/Debit, Guardian Analytics, and ThreatMetrix.
• Knowledge of mathematics; particularly statistics.
• 3 plus years’ experience designing, analyzing, testing and/or validating BSA/AML models, and/or OFAC sanctions screening models.
• Ability to code using SQL, R, or Python for customer segmentation and data analytics.
• Familiarity of current compliance rules and regulations of the FRB, SEC, OCC, FATF, FinCEN, OFAC, and familiarity with USA PATRIOT Act, BSA/AML and OFAC screening regulations.
• Proven track record of strong quantitative testing and statistical analysis techniques as it pertains to BSA/AML models, including name similarity matching, classification accuracy testing, unsupervised/supervised machine learning, neural networks, fuzzy logic matching, decision trees, etc.

Bachelor’s degree in statistics, mathematics, quantitative analysis, economics or related field is required.

Experience interfacing with banking regulators and enforcement staff.