Conduct prospect-facing technical analysis to compute and present Return on investment for all sales engagements.
Perform technical analysis for existing clients and present results to optimize performance and support expansion opportunities.
Bridge the gap between revenue and technical departments to promote revenue generation and retention.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company with corporate headquarters in Dublin, Ireland, they have a team of 22,500 people across 32 countries.
Identify and propose ML opportunities related to your scope and beyond
Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
Deploy and test ML applications using our MLOps infrastructure
Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. They are growing fast and are one of the most impactful, fastest-growing Tech companies in Africa.
Monitor industry news and internal trends to identify new fraud threats.
Assess and identify risks, recommending mitigation plans to address impostor-related threats.
Analyze fraud risk and support projects to identify improvement opportunities.
Best Egg is a tech-enabled financial platform focused on helping people build financial confidence through lending solutions and financial health tools. They aim to help customers make smart financial decisions and is being acquired by Barclays with closing expected in Q2 2026.
Support merchant onboarding and ongoing portfolio monitoring through data analysis, modeling and automation workflows.
Detect and monitor fraud across the network, responding quickly to emerging risks.
Partner cross-functionally to translate risk requirements into data-driven strategies
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with employees working almost anywhere within the country of employment and they value their employees.
Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud.
Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability.
Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and corporate headquarters are in Dublin, Ireland.
Build industry-leading machine learning models for managing credit and fraud risks
Leverage multiple complex data sources such as credit bureau reports and customer supplied information at large scale to optimize approve/decline and credit line assignment decisions
Propose and execute solutions to various problems within business constraints
Prosper was founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S. They have helped more than 2 million people gain access to affordable credit with over $28 billion in loans originated through its platform. Prosper has a diverse culture that rewards accountability and cross-functional teamwork, encouraging innovative thinking.
Own the design and development of scalable, reliable data assets that drive real-time fraud detection, dispute operations, and regulatory reporting.
Lead the creation of high-quality labeled datasets that power supervised machine learning, rules-based fraud detection and predictive chargeback modeling
Build and maintain real-time dashboards and reporting mechanisms that provide leadership, operations and product teams with visibility into critical KPIs across Risk, Fraud and Disputes
Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office.
Design and evaluate strategies to reduce fraud and abuse across promotions, referrals, refunds, and payment flows.
Develop and improve machine learning models, rules-based systems, and heuristics to detect high-risk behavior while minimizing false positives.
Analyze experimental and observational data using A/B testing and causal inference to measure the effectiveness of interventions in payments and fraud prevention.
Lime is the largest global shared micromobility business. Their electric bikes and scooters have powered more than one billion rides in cities around the world.
Leverage advanced data analytics to derive insights and optimise credit strategies across products and geographies.
Partner with Engineering to design and build scalable risk models and credit risk capabilities.
Collaborate closely with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements across jurisdictions, and translate them into credit policy, underwriting, and product design recommendations.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a fast-growing FinTech company committed to redefining responsible consumer lending.
Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Be the day‑to‑day analytics partner for clients on credit strategy, risk optimization, and portfolio performance.
Translate client goals into clear analytical questions, project plans, and structured workflows.
Use Python and SQL to explore data, validate hypotheses, and support analytical workflows developed by Data Science teams.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries.
Engineer and validate consumer-level attributes from credit bureau and alternative data sources.
Apply statistical techniques to uncover insights and improve predictiveness.
Monitor attribute performance for stability, compliance, and accuracy.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries, investing in people and new advanced technologies to unlock the power of data.
Investigate user activity and fraud cases from internal queues and referrals across the business.
Consistently complete a high volume of investigations each week with strong quality scores.
Identify patterns, trends, and potential rings of fraudulent behaviour.
Fanvue is the fastest-growing creator monetisation platform in the creator economy. They are the leading AI-powered creator-first platform, designed to empower creators worldwide to directly monetise their audience and value innovation, ownership, transparency, and speed.
Contribute to the ML Roadmap : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
Prototype & Scale : Design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
Data Strategy : Collaborate with engineering, product, and business teams to improve data collection practices and ensure we’re capturing the right signals for modeling
HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. Founded in 2017, HALA has a diverse culture that encourages innovation and flexibility.
Write DBT SQL pipelines to automate and manage data assets in Snowflake for our product partners.
Conduct statistical analysis of product usage and engagement data using Python/R with Hex.tech.
Use Sigma Computing to find insights in our customer journey and conduct business enhancing analytical projects.
Vanta helps businesses earn and prove trust by making security continuous and easily verifiable. They have a kind and talented team and thousands of companies rely on them in a way that's real-time and transparent.
Manage our thought leadership strategy, grounded in data analysis and empirical thoughtfulness.
Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights.
Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and their corporate headquarters are in Dublin, Ireland.