Fraud Analyst

Sumsub
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Fraud Analyst

AML Data Analyst

AI Consultant

Security Manager, Traffic Quality Forensics

Senior Pricing Manager

Senior Pricing Manager

Sumsubis the one verification platform to secure the whole user journey. With Sumsub’s customizable KYC, KYB, transaction monitoring and fraud prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business.

Sumsub has over 2,500 clients across the fintech, crypto, transportation, trading and gaming industries including Bitpanda, Wirex, Avis, Bybit, Huobi, Kaizen Gaming, and TransferGo.

Now we are looking for a proactive and intelligentFraud Analystto join our growing Fraud Prevention team. This role offers a unique opportunity to collaborate with clients, enhance our fraud prevention capabilities, and contribute to the growth of a dedicated product within the department.

What You Will Be Doing:

  • Work closely with the Head of Fraud Prevention during client engagements.

  • Conduct pilot projects using client data, assess risks, and define data requirementы.

  • Analyze data, identify fraud patterns, and present actionable insights to clients.

  • Conduct tailored demonstrations highlighting the system's capabilities and client benefits based on client-specific cases.

  • Proactively identify potential fraud risks and system performance issues.

  • Provide actionable feedback to the development team to improve product efficiency and accuracy.

About You:

  • Proficiency inSQL,Python, andSpark.

  • Deep understanding of at least one of the following industries:Payments,iGaming,Trading, orForex.

  • Strong analytical skills with a data-driven mindset.

  • Fluent English.

  • Resourceful, with a highly collaborative approach.

  • Able to thrive in a dynamic, client-focused environment and can balance technical skills with business acumen.

Additional requirements:

  • Experience withdevice intelligenceandrisk/fraud OPS platforms.

  • Knowledge ofclassic Machine Learningconcepts.

  • Prior experience inpre-salesor client-facing roles.

What We Offer:

  • Competitive compensation in compliance with your professional expertise.
  • Working with a product that matters. Our technology helps to protect millions of users and lots of online services worldwide.
  • International project. Our team works from offices in Berlin, Limassol, London, and Miami, our customers are spread from Mexico and the USA to Hong Kong, South Korea, and Singapore.
  • Remote first company – work from anywhere in the world.
  • Paid vacation and sick leave.

The hiring stages:TA screening -> manager interview -> final round.

Sounds like a great opportunity for your career development? Then go ahead and apply!


We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.