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Analytics Operations Manager

Location: New York
Department: Financial Crimes Risk Management
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K2 Integrity is seeking a highly motivated and focused Analytics Operations Manager to design, develop, and implement our Systemic Risk Analytics Framework for K2 Integrity’s market leading Anti-Financial Crime and Compliance solutions. In your role, you will work with our Investigations and Data Science/Data Architecture teams to construct a robust analytics framework for the identification and reporting of illicit activities.  This will include development of risk models for individual entities, populations and jurisdictional detection and monitoring. Modern analytical techniques such as customer segmentation, identity resolution and identification, neural networks, and machine learning models will be leveraged alongside defined operational summary statistics analysis and reporting.

Responsibilities

  • Design, develop and implement a robust analytics framework and reporting capability in conjunction with your counterparts in the Systemic Risk Analytics function.
  • Partner with the internal investigations and analyst community to ideate and identify new “unknown” risk typologies that can be codified into new risk models.
  • Work with your data science counterparts and product management to define, develop and implement new models and techniques to more effectively analyze data for known and unknown illicit behaviors with the chief goal of higher value alerts and reduction of false positives.
  • Codify and implement required compliance rules for analyzing wires and their associated beneficiaries, remitters and managing directors for identification of sanctions and otherwise compliance risks.
  • Partner to develop a robust KYC/CDD analytics strategy in concert with internal systems and technology vendor partners to understand individual and systemic risk across entities, populations and jurisdictions.
  • Implement appropriate data governance controls, policies and procedures to ensure data integrity and data lineage.
  • Ensure automation for the operational execution of rules, models and reports.
  • Implement an automated alerting function detecting data cleanliness and data availability issues.

Requirements

  • Bachelor’s or master’s degree in computer science, statistics or math, or equivalent quantitative field of study.
  • Demonstrated experience in developing, implementing, and managing operational analytical solutions or frameworks. (8+ years of experience)
  • Demonstrated experience in optimization and automation of analytical models/rules including look back, audit, “What if?” and impact analysis testing and performance validations.
  • Demonstrated programming skills with SAS(Required), Python, R or equivalent languages.
  • Demonstrated experience working with Anti-Financial Crime and Compliance technologies. For example: Transaction Monitoring Systems, KYC/CDD, Sanctions and Wire screening Applications, Network Analysis, Entity Resolution & Identification and Segmentation utilities or Case Management solutions.

Preferred Qualifications:

  • Certification as a Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principle Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate or equivalents.
  • Strong working knowledge and familiarity with products and solutions from vendors such as Oracle, SAS, Actimize, BAE or equivalents.
Minimum Salary: $130,000 | Maximum Salary: $180,000
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