Fraud risk data analyst multiple

Responsibilities

Monitor, audit, and analyze potential fraudulent cases and consolidate anti-fraud rules.

Design processes and build effective workflows to define characteristics of different fraud types, capture new risk types, and collaborate with cross-functional teams to drive improvements of existing tools, processes, and models related to fraud management.

Understand the trends and intelligence of fraudulent activities in each local market and build intelligence monitoring systems to mitigate fraud.

Define key performance metrics and build detailed reporting models for effective tracking, reporting, and feedback on measures implemented.

Research fraud-related policies and build effective enforcement processes to prevent and penalize bad actors while balancing user experiences.

Communicate findings and complex results to key stakeholders and manage timeline of mitigation projects.

Qualifications

Must have a Master's degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Information Systems, Data Science, Mathematics, Statistics, Business Analytics, Economics, Finance, Risk Management, or a related quantitative field, and 3 years of related work experience.

Of the required experience, must have 1 year of experience in each of the following:

Mining, preparing, cleansing, and analyzing structured data using statistical computing languages SQL, Python, or R for metrics creation, root cause analysis, and model preprocessing;

Using SQL and Spark to query, explore, and manipulate data from Apache Hive and relational database management systems including MySQL, Microsoft SQL Server, or PostgreSQL;

Developing graphical and visual representations of data using business intelligence tool Excel or Tableau; and

Building, tuning, and validating statistical models for regression and classification problems in Python or R.

Travel Requirement: Domestic and international travel required up to 10%.

Type: Full time, 40 hours/week

Location: Bellevue, WA

Salary Range: $129960 - $228000 per year

To apply, and for information on benefits offered, visit: and type Job ID A139623A in search bar. Contact View email address on jobs.institutedata.com if you have difficulty applying through our website.