Offer summary

Qualifications:

Bachelor’s, master’s, or Ph.D. in statistics, math, or a related quantitative field., 8+ years of experience in developing and managing operational analytical solutions., Proficiency in programming languages such as SAS, Spark, Python, or R., Experience with anti-financial crime technologies and relevant certifications like CAP or DASCA..

Key responsabilities:

Design and implement a robust analytics framework for risk detection and reporting.

Collaborate with stakeholders to identify new risk typologies for model development.

Automate operational execution of rules and models to enhance investigation accuracy.

Ensure data governance and integrity while developing KYC/CDD analytics solutions.

Job description

K2 Integrity is looking for a highly motivated and focused data scientist to design, develop, and implement our Systemic Risk Analytics Framework for K2 Integrity’s market leading anti-financial crime and compliance solutions. This role will be involved in working with product management, R&D, business, data science, and data architecture teams to design, build, and deploy a leading-edge platform supporting a robust analytics framework for the identification and reporting of illicit activities and associated behavioral patterns of abuse. This will include development of risk models for the detection and monitoring of risk across individual entities, populations, and jurisdictions. Modern analytical techniques such as customer segmentation, identity resolution and identification, neural networks, and large language 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 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.