Senior Risk Analyst, Fraud Operations

Forward Financing

1d•Remote

About The Position

Forward Financing is a financial technology company based in Boston, Massachusetts with team members throughout the United States, Dominican Republic, and Canada. The company is on a mission to unlock the capital that fuels small businesses across America. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, Forward is investing in its employees, technology, and customer experience – with long-term success in mind every step of the way. This role is focused on developing profitable strategies to mitigate fraud risk while supporting a low friction customer experience. The Risk Analyst investigates, creates, implements and validates various risk segmentation strategies and policies using complex data, advanced analytical, statistical, and profitability approaches. The role requires cross-collaboration with other teams and extensive use of data to derive insights and develop fraud risk strategies. The Risk Analyst will leverage various data sources including but not limited to on-us performance, digital risk, identity verification, credit bureau, transactional, and alternative data to evaluate the risk of fraudulent applications for both new and repeat customers. Both first and third-party fraud will be a focus for the analytics, that may include underwriting, portfolio monitoring, customer experience, and other ad hoc analysis. This position will have high visibility within the underwriting team and will be instrumental in mitigating risk.

Requirements

Sound knowledge of working with large datasets using SQL and Python
Strong background in building, developing and maintaining reporting in Tableau
A hands-on attitude with the ability to prioritize and multitask deliverables
Excellent communication and organizational skills
3+ years of analytical experience in consumer or business lending, preferably in credit risk or fraud

Responsibilities

Review accounts and fraud cases to identify risk-separating behaviors
Extract data using SQL and perform ad hoc analysis
Develop machine learning models using tools such as Python
Optimize prompts for agentic AI to automate the detection of high-risk behavior and generate actionable outputs
Design and monitor fraud mitigation strategies that minimize friction for legitimate applicants, including oversight of step-up and manual review processes
Develop and execute strategies to identify and investigate accounts opened under suspected ID theft or unauthorized 3rd party, coordinating with various teams to reduce fraud claims
Oversee relationships and integrations with external data providers and scoring vendors
Conduct root cause analysis on early defaults and fraud claims defects
Develop and maintain reports to measure progress against strategic business goals
Work with autonomy and be proactive in identifying opportunities
Partner with underwriting, operations, analytics, portfolio strategy, customer experience, legal and compliance