Data analyst in revenue protection

Sportradar; Greater London; On-site; GBP 60,000 - 85,000; Full time

Benefits offered by this job

Офис-центрированный режим (пять дней в

Гибкий график

Job summary

Sportradar в Лондоне ищет аналитика по данным для выявления нарушений и анализа ставок. Ваша работа будет включать анализ клиентских данных, поиск аномалий и обоснование выводов для руководства и юридических лиц.

В приоритете умение работать с большими массивами данных, Excel и SQL, а также интерес к применению ИИ и BI‑решений. Кандидат будет работать в международной команде, нацеленной на предотвращение потерь и повышение прозрачности процессов.

Qualifications

• Наличие 2+ лет опыта в расследовательской работе с данными.
• Опыт в ставках/спортданных приветствуется; знание финансового риска и борьбы с мошенничеством будет плюсом.
• Умение выявлять нарушения и обоснованно доказывать выводы.

Responsibilities

• Анализ клиентских данных ставок, выявление аномалий и изменений поведения.
• Сравнение клиентов с их сверстниками и историей для отделения реальных проблем от сезонных эффектов.
• Формирование доказательной базы и расчёт влияния на доходы.
• Докладывать выводы не техническим лицам в отделы продаж, юридический и руководящий состав.
• Разработка и улучшение инструментов для повторных проверок, включая использование ИИ.

Skills

Excel Advanced

SQL

Data Analysis

Written Communication

Curiosity

Problem Solving

Python (bonus)

Power BI (bonus)

Education

Степень в количественной области

Tools

Power BI

Job description

Описание:

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Sportradar supplies betting operators around the world with odds and trading services.

Задачи:

• Analyse client betting data to spot anomalies and changes in behaviour.
• Compare clients against their peers and against their own history to tell a real problem from a seasonal or market effect.
• Build the evidence behind each finding so that it stands up to challenge.
• Estimate the revenue impact of an infringement using a clear and defensible method.
• Write short, precise findings for non-technical stakeholders in Sales, Legal and management.
• Build and improve the tools the team uses for recurring checks, including AI assisted ones.
• Follow a case through to resolution and measure the uplift afterwards.

Требования:

• 2+ years of experience in a data-led investigative role.
• Experience in betting or sports data is preferred, but we also welcome strong backgrounds in fraud, risk, financial crime, payments, revenue assurance, trading risk, integrity or similar areas.
• Proven ability to uncover wrongdoing, non-compliance or revenue leakage through data analysis, from the first signal to an evidenced and quantified conclusion.
• Strong Excel skills, including pivot tables, lookups, cleaning and reconciling large datasets, and building calculations that others can review and validate.
• Your Excel skills will be assessed as part of the interview process.
• Working knowledge of SQL, with the ability to pull, filter and aggregate data from large tables independently.
• Clear and concise writing skills, with the ability to explain complex findings to people who may not know the underlying data.
• Curiosity and persistence, with the drive to keep digging until the explanation holds.
• An interest in using and building tools, including AI, to work more effectively, applying them alongside your own knowledge, skills and informed judgement rather than as a substitute for them.
• Будет плюсом: Python for data analysis; Power BI or a similar tool; Experience writing to or dealing with external clients on contractual matters

Условия:

• A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding.
• Flexibility to manage your workday and tasks with autonomy.
• A balance of structure and autonomy to tackle your daily tasks.
• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
• Global Employee Assistance Programme.
• Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).
• Online training videos.
• Flexible working hours.
• For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.