NLS Development and Tuning

Our Client a top tier investment bank has an urgent need for a NLS Development and Tuning Lead to join their Anti-Financial Crime department to manage the Bank's risks and help to avoid unintentional rule breaches and conflicts of interest as well as advising them on ethical conduct and governance issues and keep the organisation up-to-date on regulatory and political challenges.

Key Responsibilities

Business Analysis

• Gather and document business requirements and assess risk profile, which includes definition of the risk being mitigated, historical data or performance from similar rules, and solicitation of AFC SME input, along with input from external sources
• Identify the individual data elements required to execute screening models, examine the data available and collect statistics and information about that data in order to identify DQ metrics, identify metadata, etc.
• Assess data and data elements for timeliness, format, consistency, integrity, and completeness.
• Trace the path of data from source to target environment to verify that data has been delivered in correct format to target environment.

Systems Analysis

• Review practices from peer institutions or technology partners, review assumptions regarding fields to be excluded match criteria priority, etc, and assess feasibility of implementation.
• Identify the initial match criteria logic, define which Configurations will need to be set.
• Create draft document recording steps above to inform Rule Configuration process.
• Perform baseline tuning exercise pre-production deployment, and create a high level plan including resource identification and schedule.
• Create scripts to be used in SIT/UAT.
• Test the technical/system functions to confirm the functionality outlined in the Technical Design Document, including defect remediation
• Develop testing methodology for user of the system to confirm functionality outlined in Business Requirements Document, including defect remediation

Model Tuning

• Perform system tuning and optimisation exercises to ensure screening processes are optimised. This will include Above-The-Line and Below-The-Line testing
• Perform Sensitivity Analysis and Initial Baseline Configuration, which includes executing test cases with tuning parameters, and documenting the findings obtained
• Perform materially analysis and final baseline configuration, which includes generation and review of alerts for a sample data set
• Carry out an impact analysis based on the final configuration settings and documenting all the recommendations based on the analysis
• Perform data mining and analysis to investigate where searches result in unexpected results

Skills required

• Bachelor's/Master's degree in Mathematics, Economics, Computer Science, Data Science, MIS, Information Management, or Statistics
• Excellent knowledge of name list screening systems particularly Fircosoft
• Demonstrated experience in analytic platforms (SAS, R etc) for data mining and statistical analysis
• At least 3 years of direct experience in Financial Crime Compliance, Risk Assessment or Quality Assurance in Financial Services, Banking or Regulatory environment; experience preferred