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 stakeholders to ideate and identify new “unknown unknown” risk typologies that can be codified into new risk models.
- Work with 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 the reduction of false positives.
- Codify and implement developed compliance rules for analyzing payments and their associated beneficiaries, remitters, and managing directories for identification of sanctions and other compliance risks.
- Partner to develop a robust KYC/CDD analytics solution 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.
- Overall, increase the accuracy and effectiveness of investigations while reducing operational overhead and run rate cost.
Qualifications:
- Bachelor’s, master’s, or Ph.D. in 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, Spark, Python, R, or equivalent languages.
- Demonstrated use of large language models such as ChatGPT or equivalent.
- 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 and identification, and segmentation utilities or case management solutions.
- Ability to work during Eastern Standard Time regular business hours.
- Possess Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalent certification.
- Strong working knowledge and familiarity with Palantir Foundry applications, products, and solutions.
This contract role is work from home (Poland).
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What We Do
K2 Integrity is the preeminent risk, compliance, investigations, and monitoring firm—built by industry leaders, driven by interdisciplinary teams, and supported by cutting-edge technology to safeguard our clients’ operations, reputations, and economic security. K2 Integrity represents the merger of K2 Intelligence, an industry-leading investigative, compliance, and cyber defense services firm founded in 2009 by Jeremy M. Kroll and Jules B. Kroll, the originator of the modern corporate investigations industry, and Financial Integrity Network (FIN), a premier strategic advisory firm founded by Juan Zarate and Chip Poncy dedicated to helping clients achieve their financial integrity goals.
K2 Integrity leverages unmatched multidisciplinary experience to develop cutting-edge solutions, stimulate business opportunities, and shape global economic security in a complex world. Whether it’s protecting clients’ assets or navigating the complex financial regulatory landscape to help clients identify, manage, and mitigate risk, K2 Integrity is an advisor trusted to meet and exceed clients’ goals in a rapidly changing world. To learn more about how K2 Integrity is revolutionizing the management of risk, visit our website, www.k2integrity.com.
