Risk Analyst
Content + Source + Freshness • 14 Feb 2026 • 95% confidence
Offer value
The position combines analytical rigor with hands-on data work, appealing to candidates passionate about risk analysis in a growing company, though expectations require substantial expertise.
- Engage in risk analysis with real company impact
- Utilize modern data tools in a growing fintech environment
- Requires robust analytical skillset and initiative
Pros
- Involvement in key risk workstreams with direct company impact
- Opportunity to work with cutting-edge data tools and methodologies
- Chance to grow in a fast-paced startup environment
Cons
- Expectations for developing new data sources may be ambiguous
- Risk and financial sectors can be stress-inducing
- Limited social structure in remote working setups
Who it's for
Early to Mid-level • Remote
Good fit
- Data professionals with experience in analytics
- Individuals interested in risk and financial services
- Candidates who thrive in startup environments
Not recommended for
- Entry-level candidates without relevant experience
- Those who prefer strictly defined roles
- Individuals uninterested in risk management sectors
Motivation fit
Key skills
About the job
About AtoB
AtoB is modernizing the payments infrastructure for companies with vehicles and fleets of vehicles –where capital movement occurs quickly and transparently. Our flagship product is the AtoB Fuel Card, a fuel card accepted anywhere Visa is accepted, equipped with the strongest discount network in the nation, and built for fleets of all shapes and sizes.
Our mission
The trucking and logistics industry provides the backbone of the economy. But the payments infrastructure on which it runs is broken. For the hard-working men and women of this sector, the existing suite of payment tools is outdated, difficult to use, prone to fraud, and saddled with shady fee structures. The incumbent players in this space often overlook the economic and practical needs of this user base.
We're changing that. AtoB is building Stripe for Transportation — modernizing the payments infrastructure for trucking and logistics. Supply chains rely on the timely movement of capital to function efficiently. Our end game is a world in which that capital movement occurs fairly, smoothly, and without delay. As we pursue that end game, we aim to center our customers in every way — offering them world-class customer experience and building products that work with and around the unique constraints of their daily lives. We build for fleet managers in the office and drivers on the road. We strive for products that are efficient, satisfying, and useful. Our customers enable our modern economy — they deserve it.
Our history and background
Our founding team has backgrounds in payments, working on autonomous vehicles at Cruise Automation, leading ops and growth for Uber, and building apps that were featured on the Apple app store. We have staff and senior engineers from Google, Uber, Meta, Shopify, Stripe, Chime, and other leading technology companies.
We have raised $125 million+ from investors such as General Catalyst, Elad Gil, Bloomberg Beta, Y Combinator, XYZ; founders and CEOs of companies such as Google (Eric Schmidt), Salesforce (Marc Benioff), Coinbase (Brian Armstrong), DoorDash (Tony Xu), Instacart, Gusto; strategic investors like Mastercard, Flexport and Samsara.
We were named to Forbes annual Next Billion-Dollar Startup List, and have just recently been selected to join the World Economic Forum as a Global Innovator.
What You Will Do:
Conducting experiments and data analyses as part of end-to-end ownership of multiple
business-critical Risk workstreamsOwning data pipelines, infrastructure, and internal tooling that are used by the entire company
Making complicated data structures more accessible for use by less technical members of the
teamIdentifying and implementing new alternative data sources that will allow for better
decision-makingEvaluate alternative data sources to improve risk and underwriting
What We're Looking For:
2 - 4 years of experience in analytics or data science, preferably within risk and/or financial
services.A bachelor's degree in Technology, Engineering, Statistics, Mathematics, or Economics from Tier-I & II colleges.
Strong communicator
Ability to conduct experiments to guide data-driven decisions.
Advanced proficiency in data science tools (SQL, Python, etc.).
Previous experience working with North American companies, preferably in the financial services and/or tech startup space.
Excitement about working at a fast-growing tech startup with undefined problems that are full of ambiguity and white space.
