AML Operations Support Senior Business Analyst – Data Validation in Buffalo, NY at Key Bank- Corporate

Date Posted: 12/27/2019

Job Snapshot

  • Employee Type:
  • Location:
    Buffalo, NY
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:

Job Description


The Anti-Money Laundering (AML) Operations Support team (AMLOS) is a support group within Key Enterprise Security Services (ESS) that is responsible for providing support, subject matter expertise, analytics for AML/BSA, customer due diligence and sanctions screening processes and applications. AMLOS owns the ESS Data Validation Program which includes data quality, completeness, and validation for the financial crimes compliance model inventory (AML, OFAC, and Fraud). AMLOS partners with AML Operations, Risk Modeling & Analytics (RM&A), and Financial Crimes Governance (FCG) to help execute Key’s AML Compliance Program. AMLOS must develop and maintain knowledge of AML regulations and apply that knowledge to the support of AML systems and processes.


This is a senior analyst position within the AMLOS team is responsible for completing and working on process improvement projects. In addition, this role is responsible for executing activities associated with the ESS Data Validation Program which is designed to monitor data quality and completeness for financial crimes compliance models (AML, OFAC, Fraud).

The role will work with the AML Operations Support management team and Enterprise Security Services (ESS) leadership team in executing project work across all AML applications and processes as defined by management.

The ESS Data Validation program consists of two primary control points: Financial Crimes Data Quality Dashboards and Source-to-Target Validation Testing. This position will be responsible for executing tasks associated with both activities and maintaining an understanding of the impacts of data quality and completeness for the AML applications using financial crimes compliance models.

Relationship building within the Key Technology and Operations (KTO) organization, lines-of-business (LOBs), Financial Crimes Governance (FCG), Risk Modeling & Analytics (RM&A), Model Risk (MR), and internal ESS partners is a primary success factor. A strong background in technology systems, data analytics, data science/research, data validation & completeness programs, and AML and OFAC regulations are also critical success factors.


Working with ESS AML Operations Support management on the following job functions:
  • Serve as primary resource on process improvement projects and be involved in review of processes to identify areas for improvement.
  • Serve as a research source for AML and OFAC application data questions.
  • Executing activities associated ESS Data Validation Program. These activities include, but are not limited to, development and maintenance of Financial Crimes Data Quality Dashboard Reports (FCDQD), source-to-target validation testing, and ad hoc data quality, completeness or impact research items.
  • Effectively document, describe, and re-preform transformation processes that occur to data used by financial crimes applications and models (AML, OFAC, and Fraud).
  • Analyze, identify and recommend appropriate solutions for items elevated out of Data Validation program. Analysis includes potential compliance impact, operational impact, root cause analysis, cross application impact, and arrival at solutions that can be translated and communicated clearly to end users and key stakeholders.
  • Analyze data and/or errors identified through FCDQD and/or source-to-target validation testing, and provide feedback to AML Operations managers, RM&A, and FCG stakeholders regarding areas for improvement, driving toward resolution.
  • Identify and partner with data stewards who may need to assist in resolving data questions and data quality and completeness items identified through the Data Validation program.
  • Develop and maintain strong relationships with both internal and external stakeholders to establish and maintain a “trusted advisor” status within the various groups within Key.
  • Demonstrate and maintain knowledge of industry trends and practices in AML Technology, Risk Management, Compliance, and Operations.


  • Degree in MIS, Data/Science, or related field
  • 3-5 years of experience in information technology, data management, or audit roles (OR 7+ years of experience in progressively more responsible technology or risk management roles)
  • Experience in process review activities and identifying and implementing process improvements
  • Experience in creating workflows using Visio
  • Proven ability to mine, clean, validate and analyze large datasets
  • Experience executing data validation activities, including creation and maintenance of controls associated with data quality, data completeness, and data validation.
  • Experience interfacing with stakeholders in lines-of-business, risk management, audit, and regulatory discussions.
  • Strong background in data management, including experience and knowledge of data transformation processes.
  • Preferred background or knowledge of AML programs and risk management.
  • Knowledge and experience in risk management concepts and the ability to effectively manage risk according to established risk tolerances and thresholds.
  • Proficiency with relational databases, queries, advanced use of MS Office toolkit for data collection and analysis.
  • Strong understanding of documentation standards and needs related to procedures, testing plans and results, report writing, recommendations, etc.

  • Strong oral and written communication skills.
  • Strong problem-solving skills.
  • Strong organization skills.
  • Ability to interface with corporate governance functions (i.e. Compliance, Operational, and Model Risk), audit, and regulators, as needed.
  • Ability to communicate technical topics to various non-technical stakeholders.


KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to engaging a diverse workforce and sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


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