Description

The Model Management and Optimization team within BSA Operations is primarily responsible for the development and maintenance of all models used for BSA/AML compliance. In addition to continuously improving Customer Risk Management and Transaction Monitoring models, MMO is also responsible for business intelligence functions such as ongoing model performance metrics (effectiveness), customer behavior and transaction channel monitoring, operational forecasting, key performance and risk indicator monitoring, and data integrity control monitoring. MMO develops and maintains user tools for other BSA Operations teams to assist in alert review or KPI tracking. Through these responsibilities, MMO works closely with Information Technology, Model Risk Management, Segment Risk, Internal Audit, product groups, and lines of business. 

This posting is for a position with the Coverage Strategy team, within MMO, whose mandate it is to strategically design, develop and maintain efficient and effective AML transaction monitoring, Customer Risk, High Risk Country, and name screening programs. The program must be robust, sustainable and able to adapt to a constantly evolving risk landscape to respond to emerging risks, money laundering trends, new products and services, and technologies that support the financial industry.   

It will be key for this person to be in close contact with LOB and Compliance stakeholders to ensure a clear understanding of the monitoring strategies required for local regulation.  Additionally, this person will help lead the Coverage Strategy team to organize deliverables and to present and draft documentation for senior management discussions, exams and audits.  The successful candidate will need strong communications skills, the ability to work independently yet indirectly lead and provide oversight to MMO colleagues, as well as across BSA and Huntington’s lines of business.    In addition, the candidate needs to demonstrate strong knowledge of BSA/AML risks and guidance, banking products and services, as well as related regulatory and compliance standards.  The candidate will demonstrate the ability to lead coverage strategy projects, exercise sound judgment, as well as the ability to utilize and leverage data analytics or key metrics. A passion for problem solving with a track record of success in a complex organization.

Required Qualifications:

Bachelor’s degree, or work experience equivalent;3+ years’ experience in data analysis/statistics, computer science/information systems, mathematics, economics, risk management or compliance; may include relevant education experience3+ years’ experience within BSA/AML/CTF/OFAC investigations, risk management, regulatory environment, or legal/compliance required1+ years’ experience in leading a team and/or project

Preferred Qualifications:

CAMS certification or related AML/CTF certification, or additional years of related BSA/AML experienceExceptional research and analytical skills with the ability to analyze large amounts of data, decipher higher risk attributes (e.g., transactional, geographical, product, customer type) and disposition appropriatelyHuntington systems and data knowledge; examples include Actimize CTR/ECM/KYC, SAS AML, FDR, and Enterprise Data WarehouseHuntington product and service knowledge with the understanding of how controls identify and mitigate risks Strong interpersonal skills in teamwork, communication, time management and prioritization, adaptability, problem solving and decision making, and innovationAdvanced degree (Master's, etc.).Excellent written and verbal communication skills, with a proven ability to influence, and present to stakeholders at senior level to ensure proper awareness, support, and escalationsWork experience in financial services or insurance industryProgressive thinker and problem solver, with a strong ability to manage ambiguity/complexity.Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.Ability to embrace change, constructively negotiate constraints, and effectively leverage resources to create exceptional outcomes. A desire to create change and not accept things for the way they currently are or have historically beenExperience with identifying gaps and creating controlsKnowledge of statistical or machine learning methods in a corporate environment through applications such as SAS, SPSS, S, S-PLUS, or R.Experience with business intelligence and data mining tools Ability to clearly communicate key points and train various AML/BSA teams necessary process changes in order to close gaps found in analyses  

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Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Hybrid

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