At a Glance
- Tasks: Lead fraud monitoring and detection efforts while developing strategies to combat fraud.
- Company: Join Affirm, a company reinventing credit with a friendly approach.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced environment with opportunities for mentorship and career advancement.
- Why this job: Make a real impact in creating a safer platform while working with cutting-edge analytics.
- Qualifications: 7+ years in Fraud Management with strong SQL and analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Fraud Strategy & Analytics team works cross-functionally with Machine Learning, Product, Engineering, and Operations to combat fraudulent activities and to foster a safe platform. We're looking for a new team member to help lead our team’s fraud monitoring and detection efforts and own fraud escalations as we scale internationally.
This role will work closely with our cross-functional partners to help develop our fraud detection and decisioning systems:
- Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals.
- Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies.
- Report on fraud trends and loss drivers to cross-functional partners and senior management.
- Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner.
- Work together with our operations team to help limit losses and ensure optimal review volumes.
- Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities.
- Assist with team planning and goal setting as well as coaching and mentorship of more junior team members.
Requirements:
- 7+ years of experience in Fraud Management or a related field preferred with a prior emphasis on analytics.
- Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity.
- Technical skills: Extensive experience writing and analyzing SQL queries; comfort using Python or other scripting languages for data analysis.
- Multi-tasking: Strong time management skills and the ability to shift focus on a moment's notice to respond to changes in fraud pressure and tactics.
- Industry knowledge: Working knowledge of the fundamentals of fraud management.
We think you need these skills to ace Remote Analytics Manager, Full Stack (Fraud Analytics) in Paisley
Fraud Management
Data Analytics
SQL
Python
Scripting Languages
Risk Management
Fraud Detection
