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For Companies At a Glance
- Tasks: Lead fraud monitoring and detection efforts while developing innovative strategies.
- Company: Join Affirm, a company reinventing credit for a fairer future.
- Benefits: Competitive salary, health coverage, flexible spending, and generous time off.
- Why this job: Make a real impact in fraud prevention and work with cutting-edge analytics.
- Qualifications: 7+ years in fraud management, strong analytical skills, and a passion for product improvement.
- Other info: Remote role with excellent career growth and inclusive culture.
The predicted salary is between 133000 - 173000 £ 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. 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. Additionally, this role will work closely with cross‐functional partners to develop our fraud detection and decision‐making systems.
What You'll Do
- 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 with our operations team to 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.
What We Look For
- 7+ years of experience in fraud management or a related field, preferred with a prior emphasis on analytics.
- Product knowledge – passion to understand how the product works and how to change it to make it more effective.
- Able to thrive in a fast‐paced environment and be responsive and available during times of peak fraud activity.
- Ability to work later starts several days a week to allow for increased overlap with U.S. based colleagues.
- Technical skills – extensive experience writing and analyzing SQL queries; comfortable using Python or other scripting languages for data analysis.
- Communication – strong cross‐functional partnership building and ability to communicate analyses and recommendations clearly to both technical and non‐technical audiences.
- Multi‐tasking – strong time‐management skills and ability to shift focus on a moment's notice.
- Industry knowledge – working knowledge of payment processing fundamentals and risk trends.
- Bachelor's degree, or local equivalent, in a quantitively rigorous field (engineering, statistics, math, finance, economics) desired.
Compensation & Benefits
- Pay Grade: O
- Equity Grade: 6
- Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits.
- GBR base pay range per year: £133,000 – £173,000
Location: Remote UK
Benefits
- Health care coverage – affirm covers all premiums for all levels of coverage for you and your dependents.
- Flexible spending wallets – generous stipends for technology, food, lifestyle needs, and family‐forming expenses.
- Time off – competitive vacation and holiday schedules.
- ESPP – employee stock purchase plan enabling you to buy shares at a discount.
We are committed to an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates.
By submitting an application, you acknowledge that you have read our Global Candidate Privacy Notice and give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Analytics Manager, Full Stack (Fraud Analytics) in London employer: Affirm
Contact Detail:
Affirm Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager, Full Stack (Fraud Analytics) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at Affirm. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a mini-presentation or case study on a fraud detection strategy you've worked on. This will not only demonstrate your expertise but also your passion for the role.
✨Tip Number 3
Be ready for the interview! Brush up on your SQL and Python skills, and think of examples where you've tackled fraud issues. We want to see how you think and solve problems under pressure.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Affirm.
We think you need these skills to ace Analytics Manager, Full Stack (Fraud Analytics) in London
Some tips for your application 🫡
Show Your Passion for Fraud Analytics: When writing your application, let us see your enthusiasm for fraud management! Share specific examples of how you've tackled fraud issues in the past and what strategies you’ve developed. We love seeing candidates who are genuinely excited about making a difference.
Tailor Your Experience: Make sure to highlight your relevant experience in fraud analytics and data management. Use keywords from the job description to show that you understand what we’re looking for. This helps us see how your background aligns with our needs!
Be Clear and Concise: We appreciate straightforward communication. Keep your application clear and to the point, avoiding jargon unless it’s necessary. This will help us quickly grasp your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Affirm
✨Know Your Fraud Analytics Inside Out
Make sure you brush up on your knowledge of fraud analytics and the specific strategies used in the industry. Be prepared to discuss how you've leveraged data analytics in past roles to identify loss drivers and optimise fraud management strategies.
✨Showcase Your Technical Skills
Since this role requires extensive experience with SQL and possibly Python, be ready to demonstrate your technical prowess. You might even want to prepare a few examples of complex queries you've written or data analyses you've conducted that had a significant impact on fraud detection.
✨Communicate Clearly and Effectively
You'll need to communicate your analyses and recommendations to both technical and non-technical audiences. Practice explaining complex concepts in simple terms, and think of examples where you've successfully collaborated with cross-functional teams.
✨Be Ready for Rapid Changes
This role thrives in a fast-paced environment, so be prepared to discuss how you've managed multiple tasks and shifted focus quickly in previous positions. Share specific instances where you responded to peak fraud activity and how you handled the pressure.
