Job Description

Wish is looking for an experienced Risk Strategy Analyst to support our Buyer Risk team in San Francisco. The role entails driving analytics insights and enabling senior leadership to make effective, analytically driven decisions, in particular areas of fraud risk and financial efficiency. The ideal candidate should be passionate about Wish and e-commerce, has a strong analytical and consultative mindset, deep understanding of risk strategy methodology and design, the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines, and a passion for scaling operations through automation.

What you’ll be doing:

• Carry out detailed walkthroughs and process mapping to identify significant risks and controls in Wish’s systems

• Monitor, review, and communicate the impact to the Buyer Risk team of future initiatives, including new products, changes to existing products, and major business initiatives

• Collaborate with internal stakeholders like customer support, marketplace, business development, data science, engineering, payments, and product to launch and monitor fraud prevention controls

• Review the financial impact of fraud incidents, understand root cause, and design preventative controls

• Design, evaluate, test, and implement risk rules to counteract fraud patterns and reduce fraud losses

• Regularly review and analyze the effectiveness of rules and make adjustments or deprecations as needed

• Be intensely data driven in prioritizing and evaluating the results of all work

• Be bold! Develop insights using data and research to create a risk control system that deters fraudulent behavior while providing a positive shopping experience for Wish buyers

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Qualifications

• BA/BS degree in Mathematics, Statistics, Computer Science, Finance, Economics or other quantitative field

• Proficient in SQL

• Proven track record of applying analytical/statistical methods to solve real-world problems using data

• Organized and self-motivated individual, comfortable operating within ambiguity

• Strong communication skills required to operate across multiple departments and stakeholders

• 3+ years in Risk/Fraud/Payments focused role

• Desire to continually learn, adapt and work in a fun, fast-paced environment

Preferred Qualifications:

• Experience with data analysis and visualization tools, such as Python, R, or Tableau

• 3+ years of SQL experience (Hive, Spark, and other big data tools a plus)

• 3+ years of experience in a strategy-focused role such as product analytics, business analytics, business operation

Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don’t meet 100% of the above, we encourage you to still apply!

​​​​​​The base salary range for this position is $123,300 - $145K annually. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, qualifications and other business considerations.