.jpg)
.jpeg)
.jpeg)
.jpeg)
Branch
is hiring
Data Analyst, Risk
About Our Company
At Branch, we’re transforming how brands and users interact across digital platforms. Our mobile marketing and deep linking solutions are trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution. By integrating Branch technology into core marketing channels including apps, web, email, social media, search, and paid ads, leading brands are driving higher-value conversions than ever before.
We power mobile links, attribution, and measurement for more than 3 billion monthly users and have been selected by over 100,000 apps since 2014, including Adobe, BuzzFeed, Yelp, and many more, and are working on exciting new ways to improve discovery in the mobile ecosystem. Branch has raised more than $667M from investors such as NEA, Founders Fund, and Playground Ventures and is headquartered in Palo Alto, CA and with offices around the globe.
Job Description & Responsibilities
We are looking for a motivated, well organized Risk Data Analyst II to help manage risk at Branch. You will love this role if you enjoy pulling and analyzing data in order to tell a story and developing real-time rules/detection strategies to minimize losses. You thrive in a start-up environment, are curious, have strong analytical/technical skills, and a knowledge of payments and the fraud trends that put our customers at risk.
Responsibilities include, but are not limited to:
- Identify potential points of opportunity in Branch's risk management program through the analysis of fraud events, customer behavior, operational pain points and loss trends
- Translate analysis into recommendations for business logic to minimize losses and improve customer experience
- Create risk analytics workflow, including defining success and performance metrics, and monitor progress through the creation of actionable dashboards and reports
- Partner closely with Product and Risk to identify highest impact points in the funnel to reduce loss exposure
- Develop scalable frameworks to manage risk scores, fraud detection alerts, and false positive monitoring
- Provide recommendations on risk controls and thresholds through fact based analysis
Requirements
Qualifications
- 2-5 years of data analyst experience with a focus on fraud or risk management
- Experience developing fraud scores and risk rules through statistical modeling
- Deep experience investigating, analyzing and defending against emerging fraud trends including ATO and first party fraud
- Experience identifying and managing card authorization rules
- Understanding and experience with financial loss causes, measures, and mitigation strategies
- Strong analytic skills utilizing SQL, Python, R, etc.
- Experience with digital banking, payments networks, or financial services
- Intellectually curious and strong ability to adapt strategies as fast as the fraudsters
Nice to Have
- Experience in the fintech industry or with start-ups
- Experience with Mastercard and Mastercard Connect
- Managing projects through tools like Jira
What we offer
The base compensation range for this role is $110-120k annually. The displayed salary range reflects an average base salary for the position across the US. The base salary offered to an applicant may be higher or lower based on their specific skill set, depth of experience, relevant education, or training. This range excludes commission, bonuses, equity, or benefits.
Benefits:
- Work from anywhere (domestic USA)
- Branch-paid medical, dental, and vision insurance
- Equity
- 401k
- Flexible time off
- Paid company holidays
- Paid parental leave (eligible after 6 months of employment)
Working at Branch
A remote-first company with employees located throughout the U.S., Branch emphasizes transparency, accountability, and trust to create a collaborative environment where our product, engineering, marketing, customer support, customer success, and sales teams can all thrive together.
