Senior Risk Analyst

Key Skills

AI technology, Analytical and Problem solving, Data Analysis, Data Analytics, Data science techniques, Effective communication skills, GAP, Leadership Skill, Management, Operations Analytics, Planning and organization, Product Development, Product Management, Project management, Risk Analytics, SQL

Job Description

About this role

We’re looking for an experienced Fraud Risk Analyst to help drive critical initiatives aimed at protecting the integrity of our community of brands and retailers.

As a member of the Risk org’s Fraud & Abuse team, you will collaborate closely with other functional experts and cross-functional partners to ensure we employ world-class risk management, allowing our business to innovate and offer products that deliver an exceptional customer experience for our brands and retailers while preventing fraudulent or abusive practices on our platform. 

This is an ideal role for someone who wants to work as a high-impact individual contributor within the Fraud & Abuse space and have the opportunity to drive projects end-to-end.

What you’ll do

• Work with leadership to evolve a holistic fraud and abuse management strategy, adapting it to emerging risks
• Identify vulnerabilities in current policies and products, and drive the scoping and implementation of mitigations
• Partner with teams such as Data Science, Engineering, and Product to build enhancements to existing products and new features, and reduce financial exposure
• Use data insights and analytics to inform improved fraud and abuse detection capabilities
• Build strong internal relationships across partner teams and key internal stakeholders
• Develop effective and scalable operational processes and fill operational gaps
• Level up team members through new and improved processes, training, coaching and more

Qualifications

• A Bachelor’s degree and a minimum of 4 years of relevant experience in Risk or Fraud; prior experience with account security / ATOs or new product risk mitigations is a plus
• Strong data analysis skills including proficiency in SQL
• Critical thinking and strategic problem solving - you’re able to break down an ambiguous problem and identify solutions
• Experience with project management and driving projects independently from conception to implementation, balancing inputs from various stakeholders
• Excellent written and verbal communication skills
• Ability to work cross-functionally with Data Science, Product, Engineering, and other Operations teams to execute on high-impact initiatives

Salary Range

California / New York: the pay range for this role is $127,500 - $175,500 per year.

Colorado / Washington / New Jersey: the pay range for this role is $115,000 - $158,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire’s flexible work model aims to meet the needs of our diverse employee community by making work more flexible, connected, and inclusive. Depending on the role and needs of the team, Faire employees have the flexibility to choose how they work–whether that’s mainly in the office, remotely, or a mix of both.

Roles that list only a country in the location are eligible for fully remote work in that country or in- office work at a Faire office in that country, provided employees are located in the registered country/province/state. Roles with only a city location are eligible for in-office or hybrid office work in that city. Our talent team will work with candidates to determine what locations and roles are eligible for each option.

Why you’ll love working at Faire

• We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is an owner of the business and taking part in the founding process.
• We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
• We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
• We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.