Fraud Analytics Role - FinTech

About the Fraud Analytics Role: Ideally, you are a fraud specialist and you are using SQL or other related fraud rules engines in the real world. Understanding and practically applying data analysis techniques as it relates to fraud detection and prevention. You will help analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems, lead the design, development, and management of the new suggested improvements. Responsibilities include analyzing large amounts of account and transaction data to develop and improve processes, models, and rules while managing the customer experience. Often the fraud analytics role requires fast-paced, and time-sensitive turnaround, but can be a rewarding job helping fight cybercrime and daily fraud.

What you'll do:

- Optimization of rules, scorecards, and systems focused on the detection and prevention of fraud across all products and fraud types

- Analysis of current and historic data (e.g. authorizations, write off data) to keep fraud systems efficient and improving fraud detection

- Develop and maintain sources of financial crime intelligence for analysis/review, development of revised strategies and regularly review performance on key detection systems

- Change and manage rules within agreed parameters to optimize performance

- Act as a fraud data expert in the business

- Ensuring analysis of data against industry benchmarks, understanding variance for any discrepancies

- Performs in-depth analysis and interpretation of fraud based threats impacting by gathering and analyzing data, determining how the fraud was conducted, and provide recommendations to address the threat and mitigate losses

Required skills, experiences, and traits:

- Quantitative and analytical skills in fraud patterns

- Intellectual curiosity in solving fraud problems and ability to work in a fast-paced environment

- Understanding of different fraud types in fintech

- Understand the balance of fraud and the customer experience

Other nice to haves:

- Python/RSQL, big data tools experience

- Experience with working with other scoring systems and rules systems in authentication, identity, cyber

- Good dashboarding skills

- Good communication skills and passion to solve fraud problems