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AVP, Fraud Detection, Analysis and Technology

AVP, Fraud Detection, Analysis and Technology

Ohio StaffingCincinnati, OH, US
2 days ago
Job type
  • Full-time
Job description

Job Posting

The primary focus of the AVP, Fraud Detection, Analysis and Technology role is supporting the Law Enforcement Liaison Team by using graph database technology to identify large and complex financial fraud rings. Successful candidates will also identify and cross-functionally share opportunities found in strategy, operational process, and tools used across the business.

Essential Responsibilities :

  • Conduct fraud investigations and analyze fraud trends relevant to the financial card industry, incorporating technology systems and investigative methodologies.
  • Maintain comprehensive knowledge of operational processes, fraud strategies, and applicable regulatory requirements.
  • Collaborate regularly with Law Enforcement Liaison Field Investigators, Analysts, and Fraud / Credit / Cyber Risk teams to identify fraud actors and rings that impact business objectives.
  • Utilize graph database and other fraud detection tools to identify fraud rings and high risk accounts. Utilize Cypher coding in NEO4j to execute data mining and analysis.
  • Support investigators and strategy teams by detecting anomalies within card and banking platforms through advanced analytics.
  • Perform detailed analytical investigations by reviewing NEO4J and Linkurious outputs, and prepare comprehensive reports highlighting key findings.
  • Coordinate cross-functionally with Fraud Strategy, Authentication, AML / BSA, and other departments to address identified fraud risks.
  • Review system alerts and intelligence feeds to monitor and detect new fraud trends and prevent losses.
  • Execute additional duties and special projects as assigned.

Qualifications / Requirements :

  • Bachelor's degree with minimum of 24 months in fraud investigations with an emphasis on conducting analysis; or; in lieu of Bachelor's Degree, a minimum of 5 years experience leveraging data and statistical tools to identify trends and business opportunities within a financial / banking risk related function.
  • 2+ years hands on complex fraud analysis or investigating large fraud cases.
  • Minimum 1 year experience using SAS, SQL, Python, Cypher or similar.
  • Desired Characteristics :

  • Working knowledge of Fraud detective technology tools and experience leveraging industry standard toolsets / frameworks such as Cypher, Splunk, Tableau.
  • Understanding of analytical tools and compilation of data. Re : SAS, ODS queries, data warehouse queries.
  • Understanding of Analytics, machine learning and Graph data science.
  • Highly analytical, detail-oriented, and strong problem solving with a common sense approach to resolving problems.
  • Strong Project management skills / experience.
  • Expertise to clearly define complex issues despite incomplete or ambiguous information.
  • Demonstrates ability to succeed in fast-paced environment with ability to adapt to change.
  • Highest level of Professional integrity and the ability to maintain confidentiality.
  • Strong analytical, and creative problem-solving skills.
  • Strong interpersonal and verbal communication skills.
  • Experience leveraging fraud / risk statistical models and / or algorithms to identify outlier populations.
  • Graduate degree in Mathematics, Applied Statistics, or Data Science.
  • Grade / Level : 11

    The salary range for this position is 115,000.00 - 200,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge. Salaries are adjusted according to market in CA, NY Metro and Seattle.

    Eligibility Requirements :

  • You must be 18 years or older.
  • You must have a high school diploma or equivalent.
  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process.
  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post.
  • All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).
  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
  • Our Commitment :

    When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

    Reasonable Accommodation Notice :

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time.
  • Job Family Group : Data Analytics

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    Fraud And Technology • Cincinnati, OH, US

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