Fraud Data Analyst

FRAUD DATA ANALYST

W2 Contract (USC/GC only)

No Third Parties

Tampa, FL (Remote)

The Fraud Analyst is responsible for the collection, synthesis, and evaluation of all data related to fraud. Through thoughtful identification and collection of data and subsequent designed reporting, the Fraud Analyst will identify fraud trends and build data-based recommendations to counter emerging threats. The solutions implemented will be monitored for quality, consistency, and performance, while actively looking for additional trends and threats. The ideal candidate possesses the ability to collect and analyze raw data and prepare visualizations that are translated into digestible and documented insights to form recommendations. A background in fraud tactics is required. A background in credit or debit card transactional fraud preferred. This position will work closely with the Data Analytics team and front line business units.

Responsibilities

Leverage data to provide reports, visualizations, and dashboards to identify the root cause of reoccurring fraudulent transactions (examples include “what if” scenarios, historical analysis, incident case analysis, and monthly reports)

Assist with developing key performance indicators and associated tracking, trending, and patterns

Utilize KPIs to gather and document reporting business requirements, and to build, test and implement reporting needs

Analyze, test, and validate results to generate reports and dashboards

Address user questions concerning data integrity

Monitor, maintain, and optimize performance reports and alerts

Measure and evaluate existing credit union tools designed to identify risk-related losses

Recommend and assist with the implementation and adjustments to tool parameters or development with dynamic threats

Generate and automate reports focused on transaction analysis and detection

Assist with transitioning automatic detection to automatic account flagging

Contribute to a supportive, efficient, positive, and professional team environment in the Risk Management area

Maintain knowledge and understanding of current trends, laws, and issues affecting the area of expertise

Attend educational events to increase professional knowledge

Qualifications

Bachelor’s degree in business administration, finance, computer science, risk management, or a related field (A comparable combination of work experience and training may be substituted for education requirements)

4+ years of data analysis experience, preferably with a financial institution

Experience with Business Intelligence tools such as PowerBI, Tableau, Qlik required

Knowledge of Structured Query Language (SQL), Spark, Python, R, and SSRS report writing required

Excellent analytical and quantitative skills, including root cause and trend analysis

Good verbal, written, and interpersonal communication skills to effectively communicate with team members and external stakeholders

Good presentation skills to communicate complex results to business audiences not familiar with data and analytics

Ability to prioritize tasks, deal effectively with competing and changing priorities to meet deadlines

Accurate, detail-oriented, and organized with task management

Strong analytical and problem-solving skills with the ability to interpret large amounts of data

Skills

AI & Machine Learning

Analytics

Data Science