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В Company hidden четко очерчена практическая роль с измеримыми результатами, современными инструментами для работы с данными и влиянием на ключевое направление финтеха; при этом требуется редкая специализация, а работать можно только из Великобритании.
?Редкая экспертиза
Актуальные инструменты
Понятная зона ответственности
Финтех-направление
?Только Великобритания
Поддержка обучения
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Analyst - Risk and Fraud Systems (Fintech): Building data, decisioning, and automated risk controls for Paddle’s Merchant of Record payments platform with an accent on seller fraud detection, control monitoring, and measurable loss reduction. Focus on backtesting rules and risk scores, designing experiments and phased roll-outs, and turning risk priorities into production systems with durable ownership.
Location: UK; remote workplace type.
Company
hirify.global provides Merchant of Record payment infrastructure for digital product companies, serving over 10,000 software sellers across 245 territories.
What you will do
Build data, decisioning, and automated systems that improve seller risk management while reducing fraud losses, customer friction, and manual work.
Use SQL, Snowflake, dbt, Python, statistics, and AI-assisted tools to explore data, test hypotheses, prototype controls, and evaluate results.
Map seller-risk data, decisions, controls, owners, and failure points; establish baselines for losses, alert yield, detection speed, exposure, and analyst effort.
Own live-control health through versioning, testing, impact assessment, monitoring, alerting, and measurable control performance.
Build labelled fraud-case and fraud-typology libraries, seller-risk tiers, risk opportunity portfolios, and decision artefacts for leadership trade-offs.
Backtest rules and risk scores on point-in-time data, run experiments and phased roll-outs, translate risk problems into product, data, and engineering work, and hand stable capabilities to durable owners.
Requirements
Significant experience building or improving merchant- or seller-side fraud detection at a PSP, acquirer, payfac, marketplace, or Merchant of Record, including knowledge of bust-out, transaction laundering, and self-dealing patterns.
Strong hands-on analytical ability with SQL, Snowflake, dbt or similar, Python, and statistics.
Experience using LLMs on unstructured data such as website content or support tickets with measured accuracy.
Experience with decision-flow systems such as Tactile.
Experience designing, backtesting, and tuning rules and risk scores on point-in-time data with delayed, partial, and adversarial labels.
Experience treating controls as production systems through version control, testing, impact analysis, drift monitoring, audit trails, and human escalation for high-impact actions.
Ability to quantify risk trade-offs in fraud losses, approval rates, customer friction, operating cost, and revenue using a method Finance can approve.
Ability to turn ambiguous cross-functional problems into adopted systems with measurable results and collaborate credibly with investigators, operators, product managers, engineers, data scientists, and executives.
Good judgement about when to use a rule, workflow, experiment, vendor, model, or agent, plus a willingness to challenge assumptions while involving subject-matter experts.
Nice to have
Experience in a Merchant of Record, payments, marketplace, subscription, or other adversarial transactional environment.
Culture & Benefits
Digital-first, remote-friendly work within hirify.global’s hub locations, with trust and autonomy over where, when, and how to work.
Transparent, collaborative, respectful, and inclusive culture focused on teamwork, simplicity, and supporting others.
Annual learning fund, regular internal and external training, and ongoing exposure to new challenges.
Expected six-month outcomes include improving a major seller-risk journey, reducing repetitive screening work, and transferring stable capabilities to durable owners.
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