Senior Data Analyst - Fraud Analytics

At Zopa, we're on a mission to reshape the financial landscape, and we need a Senior Fraud Analyst to join our dynamic Fraud Analytics team. In this pivotal role, you will leverage your analytical expertise and keen judgment to combat fraud, ensuring the safety of our customers and our business. You will independently conduct in-depth fraud analyses, support incident responses, and serve as a senior analytical resource within our team. Your contributions will directly influence real-time and strategic decision-making processes, propelling Zopa forward in our commitment to innovation in finance.

At Trustpilot, we are on an exciting journey as a profitable, high-growth FTSE-250 company with a bold vision: to be the universal symbol of trust. We operate the largest independent consumer review platform globally, and while we've achieved significant milestones, there's much more exhilarating work ahead. Join us at the forefront of trust!We are in search of an inquisitive and analytical Fraud Detection Analyst to become part of our global Fraud & Investigations team. In this role, you will analyze data, identify trends, and formulate detection rules that play a crucial role in preventing fraud, thereby protecting consumers, businesses, and the integrity of our platform.You'll tackle complex and often ambiguous challenges in the dynamic landscape of online trust. If you are passionate about problem-solving, delving into data, and making a significant impact, this is your opportunity.Joining a collaborative and inquisitive team that values transparency, fairness, and humor, you will contribute to the broader Trust & Transparency team, driving change across the organization and helping us achieve our vision of being the online symbol of trust.Key Responsibilities:Analyze fraud patterns and develop a comprehensive understanding of fraudulent behavior on our platform using SQL, Google BigQuery, and Google Looker.Create rules based on your analysis to mitigate fraudulent activities across our platform.Investigate escalated cases related to potential misuse of our platform and support media, legal, and customer inquiries.Collaborate with data science experts to enhance our technological and procedural methods for identifying fraud.Work closely with engineering teams to improve internal tools and databases that bolster our fraud prevention efforts.Serve as a key resource for other departments by analyzing customer and reviewer behavior on the platform.Communicate findings from analyses and investigations to various stakeholders across the department and the wider company.Report directly to our Lead Fraud & Investigation Analyst.

Join our dynamic team at Duffel as a Fraud Analyst in London, where you will play a crucial role in identifying and preventing fraudulent activities. Your keen analytical skills will be essential in assessing risks and implementing effective strategies to safeguard our operations. If you are passionate about leveraging technology and data analysis to combat fraud, we want to hear from you!

Join us as a Fraud Analyst in London, where we are revolutionizing the travel industry.Are you passionate about data analysis and fraud prevention? At Duffel, we are committed to simplifying travel by enhancing payment systems and ensuring secure transactions for over 4 billion airline passengers.As a part of our dynamic London team, you will play a crucial role in identifying fraudulent activities, formulating detection rules, and collaborating with our engineering and data science teams.If you thrive on solving complex challenges and making a significant impact, this is your opportunity to contribute to the future of travel!

Join Wise as a Lead Data Analyst specializing in CRM Analytics. In this pivotal role, you will leverage data to drive insightful decision-making and enhance customer relationship strategies. You will work collaboratively with cross-functional teams to analyze customer data, identify trends, and provide actionable insights that align with our business objectives.

Wise is seeking a Lead Data Analyst with a focus on CRM Analytics to join the team in London. This position centers on using analytical skills to support and improve customer relationship management initiatives. Role overview The Lead Data Analyst will work with complex datasets to uncover trends and patterns that inform Wise’s CRM strategies. The role involves turning raw data into clear, actionable insights that shape how the company connects with its customers. Key responsibilities Analyze large and varied datasets related to customer interactions and engagement. Develop insights that support Wise’s CRM goals and improve customer experience. Collaborate with teams across the company to refine and optimize customer engagement strategies. Collaboration This role works closely with cross-functional teams, ensuring that data-driven recommendations are integrated into Wise’s broader customer engagement efforts.

Join Wise as a Senior Fraud Product Analyst and play a pivotal role in safeguarding our customers while driving innovation in fraud prevention. You will leverage your analytical skills and product expertise to enhance our fraud detection capabilities, working closely with cross-functional teams to implement effective solutions.

As a Senior Full Stack Data Analyst at Blacklane, you will be integral in shaping our data-driven strategies by transforming intricate datasets into actionable insights that influence key business decisions. You will be responsible for designing and maintaining interactive dashboards, comprehensive reports, and engaging visualizations, collaborating with cross-functional teams to meet their analytical needs and conducting advanced statistical analyses. Your focus on data quality and precision will be vital, alongside your ability to effectively communicate your findings and guide the strategic direction of our data division within the engineering department. This position offers ongoing opportunities for professional development, flexible working arrangements, and a vibrant, diverse workplace environment.

Transform Your Career with QodeaAt Qodea, innovation is not just a buzzword; it is embedded in our culture. Join us and elevate your career in a dynamic environment where your skills will evolve at the forefront of technology and artificial intelligence.As a global technology group, we provide high-caliber professionals like you a platform to tackle high-stakes challenges that define your career. You'll work alongside industry leaders such as Google, Snap, Diageo, PayPal, and Jaguar Land Rover, helping them solve problems that have yet to be resolved.Forget about mundane consultancy; here, you will operate at the intersection of technology, design, and human behavior to deliver rapid, tangible results. This is work that makes a mark, and you’ll have compelling stories to share with your peers.We are looking for a dedicated Senior Data Analyst to join our Professional Services team.

Join our innovative team at GoCardless as a Senior Data Scientist specializing in Fraud Prevention. In this pivotal role, you will leverage your advanced analytical skills and expertise in data science to develop robust fraud detection models and strategies. You will collaborate with cross-functional teams to implement these solutions and safeguard our customers against fraudulent activities.

The Senior Manager, Data Analytics at Checkout.com leads a team focused on supporting data-driven decisions throughout the company. Based in London, this role manages the creation and delivery of business intelligence solutions, using analytics to surface trends and opportunities that shape business direction. Role overview This position combines strategic thinking with practical leadership. The Senior Manager guides complex data projects from planning to execution, ensuring results align with organizational goals. Collaboration with teams across functions is a key part of daily work. What you will do Direct and mentor a team of data analytics professionals Oversee the development of business intelligence tools and solutions Apply advanced analytics to identify insights that support business growth Work closely with other departments to align analytics initiatives with company needs Requirements Strong experience leading analytics teams and projects Ability to manage complex data initiatives from start to finish Skilled at collaborating with cross-functional groups Strategic mindset with a hands-on approach to problem-solving

Join Relay, a pioneering force in revolutionizing the logistics landscape. Fueled by Europe's largest logistics Series A funding of $35M, led by innovative investors like Plural, Relay is achieving growth rates surpassing 99.98% of venture-backed startups. We're on a mission to assemble an exceptionally talented team that sets new standards in the logistics industry.Our Vision is to eliminate barriers in commerce. High delivery costs create a hidden tax on e-commerce, determining what can be sold online and who can participate. We aspire to a future where goods move freely among people, enhancing the online shopping experience for everyone.About Our Team• A dynamic team of ~110 professionals, with over half specializing in engineering, product, and data• 45+ advanced degrees in fields such as computer science, mathematics, and operations research• We analyze thousands of data points for every parcel we manage, creating a culture of first-principles thinking, rapid feedback, and continuous experimentation.The OpportunityAs Relay's operations expand rapidly, the finance team relies on data-driven insights to guide strategic growth decisions, including expansion locations, pricing strategies, and investment opportunities. This role is crucial for managing the analytics that inform these decisions.In the role of Senior Data Analyst within the finance team, you will take charge of the dashboards and reporting systems that illuminate key metrics: cost per parcel, profitability of expansions, performance of clients and cohorts, pricing trends, and their underlying drivers. Your expertise will transform raw operational data into actionable insights for forecasting, modeling, and decision-making.You will collaborate with a centralized data team of approximately 30 data engineers, analysts, and scientists, while being integrated into the finance squad. You'll work closely with the Senior Data Scientist, enhancing visibility and reporting capabilities based on their simulation models. Additionally, you will interact with various squads, refining the metrics they contribute to create the reports that finance requires.

Unlock Your Potential with Trust.For decades, the payment clearing process has remained stagnant. At ClearBank, we challenge the norm. We strive to revolutionize banking infrastructure to be faster, safer, more reliable, and accessible to all. Here, you can think innovatively and responsibly to discover optimal solutions.When you operate in a realm of inherent trust, it fosters safety. This safety empowers you to be courageous, to question conventions, to learn from failures, and to explore new possibilities. At ClearBank, trust is at the core of our operations. We are not merely expected to earn it; we are entrusted with it. This means addressing issues promptly, discerning good risks, and understanding that the ability to act does not always equate to the necessity to do so.Your Role Awaits You:Joining our Financial Crimes Operations Models Management team as a Blockchain & Fraud Models Analyst means taking ownership of developing and maintaining monitoring controls for blockchain-based products and analyzing fraudulent payment activities. Reporting to the Senior Manager of Models Management, you will play a key role in safeguarding our financial ecosystem.Key Responsibilities:Design and optimize robust rules and models for monitoring blockchain transactions and screening for fraudulent payments, ensuring comprehensive risk coverage and operational efficiency to support our products and clientele.Analyze blockchain and payment transaction behaviors to identify emerging typologies of financial crime, such as cross-chain activities, high-risk wallet exposures, and transaction velocity risks.Collaborate with data scientists, engineers, and compliance teams to enhance monitoring performance through improved rule logic, thresholds, and outputs.Oversee the effectiveness of monitoring rules and models, maintaining rule health metrics, dashboards, and performance reports.Conduct root cause analyses of monitoring incidents and model performance issues, recommending and implementing data-driven enhancements.Engage with the 1st and 2nd Line of Defence teams, as well as external vendors, to ensure monitoring controls are well-calibrated, documented, and aligned with risk appetites.Contribute to strategic initiatives aimed at enhancing the organization's financial crime strategies.

Start Date: Immediate Location: London The Role: As a Graduate Analyst on AlphaSights’ Strategy & Analytics team, you will be pivotal in empowering senior leadership to make informed, data-driven decisions that propel the company's growth. You will significantly contribute to AlphaSights’ strategic initiatives by applying data-driven performance metrics and analytical insights to guide decision-making. This position offers the opportunity to leverage your problem-solving, quantitative analysis, and communication skills to influence AlphaSights’ future commercial and operational strategies. While based in London, you will collaborate with colleagues from various regions and functions to implement strategic projects. This role is a fantastic opportunity for driven individuals eager to build a versatile skill set in strategy and analytics while learning from peers with backgrounds in management consulting, corporate strategy, and data analytics.

As a Financial Crime Analytics Consultant specializing in Transaction Monitoring and Fraud at Capitex, you will play a crucial role in safeguarding our financial systems. You will lead financial crime analysis efforts across all channels, enhancing management information (MI) and developing fraud modeling strategies. Your primary focus will be on implementing, maintaining, and further developing our financial crime detection tools to optimize detection capabilities, mitigate fraud losses, and minimize disruption for legitimate customers.In addition to your analytical responsibilities, you will support and stand in for the Financial Crime Manager as necessary. You will also represent our team as a Subject Matter Expert (SME) on various projects, including defining requirements and conducting functionality testing.

Relay is revolutionizing the logistics landscape for the digital age. With an unprecedented funding of $35 million in Europe’s largest logistics Series A, led by pioneering investors Plural, Relay is achieving growth rates that surpass 99.98% of venture-backed companies. We are committed to building a highly skilled team that will redefine the logistics industry.Our Mission is to eliminate barriers in commerce. The current high delivery costs serve as a hidden burden on e-commerce, influencing sales potential and restricting participation. We aspire to create a reality where goods flow freely among people, ensuring a smooth and inclusive online shopping experience for all.ABOUT OUR TEAM• Comprised of approximately 110 individuals, with over half dedicated to engineering, product development, and data analysis• A diverse background with 45+ advanced degrees in fields such as computer science, mathematics, and operations research• We analyze thousands of data points for each parcel we manage• Our culture thrives on first principles thinking, continuous feedback, and a commitment to experimentationThe RoleAs a Senior Data Analyst in the New Services & Expansion team, you will steer the analytics for Relay’s growth strategies. This is an evolving domain with undefined metrics and scattered data across teams. Your role will involve determining what to measure as much as performing the measurements themselves. The expansion efforts impact all facets of the network, hence you will collaborate across routing, sortation, first mile, middle mile, last mile, marketplace, and commercial sectors to assess how new services influence the system.You will be part of a centralized data team consisting of around 30 data engineers, analysts, and scientists, while being embedded within the New Services & Expansion squad.Your ResponsibilitiesAnalyze complex datasets to derive actionable insights for strategic expansion initiatives.Collaborate with cross-functional teams to identify key performance indicators for new service offerings.Develop and maintain dashboards and visualizations to communicate findings effectively.

KAYAK, a proud member of Booking Holdings (NASDAQ: BKNG), stands as the foremost travel search engine globally. With billions of queries across our platforms, we assist travelers in discovering their ideal flight, accommodation, rental vehicle, and vacation package. Additionally, we are revolutionizing business travel through our innovative solution, KAYAK for Business.As a part of KAYAK, you will join a dynamic travel company that encompasses a diverse portfolio of global metasearch brands, including momondo, Cheapflights, and HotelsCombined. From our humble beginnings to our current status as an industry leader, innovation is embedded in our culture, and every team member has the chance to leave their imprint. We are committed to enhancing the best travel search engine, making global experiences more accessible for everyone.We are in search of a Commercial Analytics Analyst to bolster KAYAK’s operations in North America and Latin America! This role involves working closely with partner data, necessitating meticulous attention to detail and robust analytical capabilities. You should be adept at managing substantial data volumes and be self-driven, proactive in analyzing, investigating, and prioritizing insights from various datasets and sources. Collaboration with all departments is essential, fostering cross-functional relationships. The ability to thrive in a fast-paced environment is crucial for this position.This role requires working at our London office at least three days a week.Key Responsibilities:Assist the NORAM and LATAM commercial teams by addressing all internal analytics requests from partners, delivering data and insights through user-friendly reports.Track daily performance metrics across all NORAM and LATAM verticals: oversee traffic fluctuations, shifts in business metrics, product updates, and A/B testing outcomes.Manage partner booking and conversion tracking integrity for the LATAM region, addressing discrepancies and enhancing sales tracking implementations.Elevate internal reporting processes by crafting new dashboards and data visualizations.Investigate inconsistencies in key business metrics from various reporting and data sources.Collaborate with the business team to identify and define essential metrics.

Join Wise as a Staff Data Scientist specializing in Fraud Analysis. As a pivotal member of our team, you will leverage data to develop innovative solutions that combat fraud, ensuring the security and trust of our financial services. This role involves analyzing vast datasets, creating predictive models, and collaborating with cross-functional teams to implement effective fraud prevention strategies.

About the Role Utility Warehouse is looking for a Senior Data Analyst in London. This role focuses on analyzing complex datasets to uncover insights that support business improvements and strengthen customer satisfaction. What You Will Do Work with large and varied data sets to identify trends and patterns Translate data findings into clear recommendations for business teams Support decision-making with evidence-based analysis Help shape strategies that improve both performance and customer experience

Join our dynamic team at Intercom as a Senior Data Scientist specializing in Product Analytics. In this role, you will leverage data to drive meaningful insights that enhance user experience and product development. You will work closely with cross-functional teams to analyze trends, build predictive models, and develop metrics that inform strategic decisions.