FCC Model Analyst Position Available In Miami-Dade, Florida

Tallo's Job Summary: The FCC Model Analyst position at BankUnited in Miami Lakes, FL offers a full-time role with an estimated salary range of $58.7K to $80K a year. The role requires expertise in data modeling, data mining, computer science, business analysis, and anti-money laundering, among other skills. The Analyst will support FCC business units by validating models, maintaining documentation, and providing solutions for business problems and reporting needs. The position involves data analysis, software implementation, and communication with stakeholders to ensure compliance with regulations and optimize operational efficiency. The ideal candidate holds a Bachelor's degree in IT or related field and has 2 years of relevant experience in financial services. Additionally, certifications such as Certified Anti-Money Laundering Specialist (CAMS) and Certified Fraud Examiner (CFE) are preferred. The Analyst must possess strong communication skills, attention to detail, and the ability to manage multiple projects efficiently.

Company:
BankUnited
Salary:
JobFull-timeOnsite

Job Description

FCC Model Analyst BankUnited – 3.5

Miami Lakes, FL Job Details Full-time Estimated:

$58.7K – $80K a year 1 hour ago Qualifications Data modeling Data mining Management Computer Science SAS R Certified Fraud Examiner Business analysis Software implementation Omniture Data analysis skills Anti-money laundering Mid-level Tableau Application development SQL Bachelor’s degree IT Financial services Associate’s degree Bank Secrecy Act Certified Anti-Money Laundering Specialist 2 years Communication skills Data warehouse Python Adobe Analytics Analytics Full Job Description Job Description Remote/Hybrid position in

Miami Lakes, Tampa, Atlanta or Dallas SUMMARY:

The Model Analyst will be responsible for supporting the Financial Crimes Compliance (“FCC”) business units through the utilization of technical and business knowledge to assist with model validations, maintain and update model documentation, recommend solutions that solve business problems and reporting needs, amongst other skill sets. This includes identifying and defining data analytics needs as well as the structuring and analysis of data from multiple source systems for the purposes of creating and maintaining reporting (e.g. visual and flowchart modeling).

ESSENTIAL DUTIES AND RESPONSIBILITIES

include the following. Other duties and special projects may be assigned. Assist in the maintenance of formal procedures and model documentation Assist with model performance monitoring, including validation and the preparation of model validation reports and related supporting technical documents Prepare reports in a manner that is clear and comprehensible to FCC supervisors/managers, internal auditors and regulatory examiners Develop and maintain technical expertise of model functionality including release and upgrades Ensure that FCC Data Analytics Manager is apprised of any model issues and maintain status reporting Assist FCC stakeholders in conducting validations, performance monitoring and other system testing Create and execute effective challenges for modeling assumptions, inputs, conceptual soundness and theory, developmental evidence, implementation and outputs Identify process gaps and recommend new opportunities for process improvement through the use of quantitative analytics Apply statistical techniques to interpret risk and develop solutions for business consumption Ensure that operational reports are complete and provide accurate data to enable business functions to carry on day-to-day operations Support the data mining, reporting and general analytics needs of the FCC department Ability to recognize and communicate the regulatory and policy driven use of FCC models, tools, and utilities Support the development of innovative approaches and best practices Communicate production issues with key stakeholders such as business lines, FCC management team, and the IT Department Maintain working knowledge of Bank system platforms Coordinate, develop and/or review exam and audit deliverables Handle a large workload with the ability to complete the tasks correctly and efficiently within the designated timeframes; exercise discretion in setting priorities Perform any other assignments as directed by manager Possess commercial awareness of banking and BSA/AML, OFAC and Fraud risks Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.). Adheres to Bank policies and procedures and completes required training. Identifies and reports suspicious activity.

EDUCATION

Bachelor’s Degree in Computer Science, Data Analytics, Data Science, Business Analysis or a related field required

EXPERIENCE 4-6

Years working with data modeling, software implementation, enhanced reporting analytics and/or related experience in financial services data analysis and/or application development required 2-3 years of experience as a model analyst or similar position working directly with BSA, OFAC and/or Fraud models Experience with BSA/AML model management including scenario development, segmentation and threshold tuning; OFAC models including matching algorithms and fuzzy logic and Fraud models including wire, check, online banking and RTP models

CERTIFICATES, LICENSES, REGISTRATIONS

Certified Anti-Money Laundering Specialist (CAMS) preferred Or Anti-Money Laundering Certified Associate (AMLCA) preferred Certified Fraud Examiner (CFE) preferred Certified Financial Crimes Investigator (CFCI) preferred

KNOWLEDGE, SKILLS AND ABILITIES

Familiarity with model vendors such as Actimize, Fircosoft and Fiserv Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics (formerly Omniture Site Catalyst), Tableau, IBM Digital Analytics (formerly Coremetrics), Google Analytics, Webtrends, Python or R, etc. Ability to multitask, meet deadlines, manage competing demands/multiple projects, maintain a strong sense of urgency and follow through in addressing issues Strong verbal and written communication skills and ability to communicate technical information to non-technical audiences Maintains strong attention to detail in high-pressure situations Solid understanding of data warehouse and dimensional modeling concepts

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