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 innovative technologies.
- Qualifications: 7+ years in Fraud Management, strong analytical skills, and experience with SQL and Python.
The predicted salary is between 70000 - 90000 £ 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. Additionally, this role will work closely with our cross-functional partners to help develop our fraud detection and decisioning 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 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.
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 so as to allow for increased overlap with US-based colleagues.
- Technical skills - Extensive experience writing and analyzing SQL queries; comfort using Python or other scripting languages for data analysis.
- Communication - Ability to build strong cross-functional partnerships and work with a diverse range of teams across the organization. Ability to communicate analyses and recommendations clearly to both technical and non-technical audiences.
- 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.
Remote Analytics Manager, Full Stack (Fraud Analytics) in Livingston employer: Affirm
At Affirm, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in the world of finance. As a Remote Analytics Manager, you'll enjoy the flexibility of remote work while being part of a dynamic team dedicated to combating fraud and enhancing consumer trust. With ample opportunities for professional growth, mentorship, and cross-functional collaboration, Affirm is an excellent employer for those looking to advance their careers in a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Analytics Manager, Full Stack (Fraud Analytics) in Livingston
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Affirm.
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We think you need these skills to ace Remote Analytics Manager, Full Stack (Fraud Analytics) in Livingston
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Affirm, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Affirm. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Affirm
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Affirm!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
