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Salary
$250k – $280k per year
Location
Hybrid (San Francisco, United States)
Seniority
Senior · 3+ years exp
Visa
H-1B filings in 12 months: 5
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Sep 30, 2026.

Overview
Company
Impact
Profile match
Trustly is a Swedish open banking payments company headquartered in Stockholm whose Pay by Bank network lets consumers pay, deposit and receive payouts directly from their bank accounts without using cards. Founded in 2008 and owned by investors including Nordic Capital, Alfvén & Didrikson and BlackRock, it processes more than $100 billion in annual transaction volume and serves merchants in e-commerce, travel, gaming, financial services, utilities and the public sector in Europe and the US. Trustly hires staff software engineers for payments, settlement and gateway systems, risk and fraud data scientists, compliance and financial crime specialists, and finance and people roles.
Backed by TTV Capital

WHO WE ARE

At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.

Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like.

Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays.

About the team

Risk & Fraud Analytics sits in Trustly's Portfolio Risk Management organization, alongside Risk Management and Risk Solutions. The team quantifies the business impact of risk decisions and is responsible for attributing every dollar of loss and investigating the fraud patterns. In addition, this team provides loss forecasts and quantifies a loss and approval number on a proposed rule or threshold change.

ABOUT THE ROLE

You will lead the team behind loss attribution, loss pattern discovery across all return types, return rate monitoring, recovery strategy, loss forecasting and merchant collateral sizing. You will produce the monthly loss view and the forecasted loss and approval impact on every proposed rule, threshold and non-standard deal term.

WHAT YOU'LL DO

  • Lead the risk and fraud analytics team across loss reporting, investigations, recovery analysis and loss forecasting.

  • Attribute loss to return code family, merchant, vertical, rail and guarantee tier, and to the rule or score band that allowed the transaction.

  • Produce the monthly loss report and the merchant loss scorecards for the risk management and commercial teams.

  • Quantify the loss avoided and the approval rate cost of each proposed rule, threshold or non-standard deal term before it is implemented, and report the outcome against that forecast once it is live.

  • In partnership with risk operations, investigate loss patterns across unauthorized, administrative and funding-related returns, quantify the exposure, and share the findings with Risk Data Science and the Risk Leads.

  • Forecast portfolio loss against plan, and explain the variance by merchant, user segment, vertical, rail and guarantee tier mix.

  • Forecast which merchants and segments are moving toward a return rate limit, explain the drivers, and support the risk compliance team in the response to our banking partners.

  • Set the recovery strategy: which returns are worth contesting, and the expected recovery by return code family and merchant.

  • Give an independent, data-based view of merchant and segment performance, including how approved merchant cohorts performed against what the underwriting criteria predicted.

  • Maintain expected loss rates and cost per decision by merchant, vertical and guarantee tier, and present loss performance and forecast variance to the Risk Committee and Finance.

WHAT WE'RE LOOKING FOR

  • 8+ years in payments, lending or banking risk and fraud analytics, including at least 3 years managing analysts.

  • Exceptional analytical judgment to help frame the right question, identify the right data and create analysis design to find answers.

  • Fraud investigation experience, and the ability to guide analysts through one: set the hypothesis, find the pattern across a group of cases, and hold the evidence to a standard.

  • Fluency with the methods this work runs on: segmentation, cohort analysis and pattern detection across large transaction datasets.

  • Loss forecasting experience with cohort loss emergence, vintage curves or roll rates, and explaining variance to plan.

  • Experience owning a loss number that Finance and commercial teams both work from, including the monthly reporting cycle behind it.

  • Depth in ACH or card loss economics, including return code families and recovery rates.

  • Experience quantifying a rule or threshold change before its implementation and reporting the outcome afterward.

  • Ability to bring a recommendation to a risk committee and explain the assumptions behind it.

PREFERRED

  • Degree in a quantitative field. A master's degree or MBA is a plus.

  • Experience with guaranteed payments, credit or any product where the provider carries the loss.

  • Exposure to fraud typologies such as first party misuse, account takeover and synthetic identity.

  • Experience with gaming, telco, utilities, insurance or financial services portfolios.

  • Python for analysis and modeling.

  • Familiarity with NACHA rules for ACH and Payments Canada rules for EFT.

LOCATION & WORKPLACE

This is a hybrid role based out of our San Francisco or New York hubs. We look for team members to be in the office Tuesday through Thursday.

SALARY RANGES IN US-BASED ROLE POSTING

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include other perks and benefits.

WHAT WE OFFER

At Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way.

Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At Trustly, we foster a workplace where everyone feels they belong-a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way.

We offer innovative perks and benefits packages that include:

- Flexible paid time off & generous PTO accrual plans

- Comprehensive medical, dental, vision, and other insurances

- FSA & HSA plans for medical and dependent care

- Home office set-up allowance

- Internet stipend

- Retirement plan match for 401k and RRSP

- Gender-neutral paid parental leave, and more!

(The benefits and total compensation packages outlined above are for full-time employees; some exclusions apply for temporary positions.)

At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.

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