Apply on Employer Site

Ankura · 1 day ago

Model Validation Director

New York, NY

Full-time

Hybrid

Lead/Staff, Director/Executive

$85K/yr - $200K/yr

5+ years exp

Ankura is a team of excellence founded on innovation and growth. The Model Validation Director is expected to lead and execute model validation testing processes on systems that support Financial Crime programs, including transaction monitoring and fraud detection.

AdviceConsultingManagement ConsultingService Industry

No H1B

Responsibilities

Conduct model validation, implementation, tuning and optimization of AML and Sanctions models, on and off site, issue written reports and workpapers, and communicate results with customers

Conduct data validation exercises such as data quality testing and data reconciliation; Develop test scripts corresponding to scope of the testing engagement and business expectations

Conduct statistical analysis, outlier detection, sensitivity analysis, above-the-line and below-the-line testing on financial transaction data, transaction monitoring alert data, and sanctions screening alert data

Track and validate the implementation of remedial actions submitted by the remedial actions owners to verify that issues were remediated; follow up as necessary

Monitor regulatory activities and industry developments to identify trends and emerging issues that may impact the clients and may require changes to the compliance testing program

Build, enhance or localize model risk management programs including coverage assessments, change management, access management procedures, internal controls, and transaction monitoring and watchlist systems

Assist clients with day‐to‐day compliance requirements

Serve as subject matter expert to customers

Assist with cultivating new business with existing and new clients, participating in proposal development, and networking

Qualification

Model validationFinancial Crime experienceData analysis toolsStatistical analysisData quality testingAML system implementationData validationBanking compliance systemsCustomer service skillsStakeholder engagementData cleansing knowledgeIT collaborationBusiness analysisAnalytical results visualizationInterpersonal skillsPresentation skillsTeamworkCommunication skillsProject managementAttention to detail

Required

Bachelor's and/or advanced degree with a concentration in Data Management or Analytics; Finance; Computer Science, Management Information Systems, or Statistics/Mathematics

Experience with data extraction and analysis tools such as SQL/Python

5+ years of experience within the Financial Crime industry

5+ years of model validation, AML system implementation, data lineage, or quality testing experience

Basic knowledge of the software development lifecycle

Demonstrated experience with data analysis, business analysis, and data validation, activities with financial services institutions

Demonstrated experience with performing independent testing on models, including an understanding of risks/controls and experience documenting testing within workpapers

Experience executing model validations of financial crime systems, including but not limited to: Verafin, Actimize, BAM/BAM+, YellowHammer, FCRM, FinanSeer, FiServ, Lexis Nexis Bridger, FircoSoft, Quantexa, Palantir, Accuity, RDC, and others

Demonstrated experience and knowledge of banking and compliance systems

Demonstrated experience working in a results-driven environment within a team environment

Strong organizational, interpersonal, and presentation skills

Ability to actively engage with stakeholders to collect information, and issues, and make recommendations for business and process improvements

Highly effective verbal and written communication skills and the ability to interact with all levels of management

Strong teamwork, communication, and customer service skills

Strong analytical, attention to detail, organizational, and core project management skills

Possesses knowledge of the challenges of data cleansing and integration in Python and/or SQL

Ability to work with IT and business personnel

Applicants must be authorized to work in the U.S. without sponsorship now or in the future