Operations | San Francisco, CA | Full Time
Plastiq (pronounced “Plastic”) is a fast-growing financial technology company changing the payments landscape by empowering consumers to use their cards everywhere cards are not accepted.
Plastiq enables consumers to pay any business on credit or debit card, especially in cases where businesses don’t typically take cards (e.g., rent and other services like landscaping, accounting, legal counsel, and more). Our service costs absolutely nothing to businesses, who will receive either a bank transfer or physical check from us on behalf of their customers. The company is headquartered in San Francisco and is backed by top advisors and investors.
Role at a Glance
Plastiq is seeking a detail-oriented, high-potential Risk Analyst. As a member of a small, focused Risk team you will develop expertise in all things risk, compliance, and disputes, and make a meaningful contribution to the planning and implementation of policies and procedures.
You trust your gut, but defer to data whenever possible
You’re good at recognizing patterns and thinking creatively
You’re decisive and willing to make critical decisions
You are naturally curious and love the idea of a good investigation
You are passionate about helping people and take pride in your work
You thrive in a fast-paced environment and embrace change
- You enjoy collaborating with others, and you’re excited to learn and grow from your experiences and colleagues
Review high-risk transactions and help reduce loss due to chargebacks
Review accounts flagged for fraud, credit, or compliance violations
Investigate fraudulent users to provide insights on their operations
Communicate with businesses and users to help them eliminate fraud
Help improve our internal tools and fraud-detection algorithms
- Contribute to the development of Plastiq’s risk policies and procedures
1 to 3 years of work experience or recent graduate in Math, Economics, or similar field
Prior experience at a growth stage startup or software company preferred
Experience in data analytics, risk, or compliance preferred
Experience with SQL/NoSQL and statistical software such as SAS, SPSS, or STATA preferred
Proficient in Excel
- Payments expertise a strong plus