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.
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.
Building, maintaining and enhancing credit risk models for lending portfolios.
Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics to perform model and portfolio monitoring.
Perform exploratory data analysis (EDA) to identify portfolio trends, drivers of loss performance and provide insight into model deviations.
Achieve is a digital personal finance company that provides personalized financial solutions. They leverage data and analytics to offer personal loans, home equity loans, debt consolidation, and financial tools. They have over 3,000 employees and a strong people-first culture.
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.
This role is pivotal in building and scaling a team responsible for pricing, credit limit modelling, and production credit model deployment. You’ll work closely with our Consumer Credit, Product, and Engineering teams to shape how we assess and price risk, design credit products, and measure outcomes across the credit lifecycle. You’ll build the analytics and modelling foundations that inform underwriting, customer acquisition, retention, and portfolio performance at scale.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets.
Partner with stakeholders to translate business challenges into data science problems.
Own the end-to-end lifecycle of data science models, from data exploration to deployment.
Develop scalable and efficient models, balancing algorithmic complexity with business needs.
Ocrolus helps lenders automate workflows with confidence, streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
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.
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.
Improving portfolio health by engaging customers in financial difficulty.
Designing and monitoring impact assessment and forecasting models.
Developing and maintaining credit models for strategic business decisions.
Monzo is on a mission to make money work for everyone, waving goodbye to complicated traditional banking. They offer personal and business bank accounts, joint accounts, and credit cards, solving problems and changing lives.
Collaborate with cross-functional partners across Product, Engineering, Research, and more to solve product development's biggest challenges.
Use data to identify opportunities, upcoming challenges, and ensure products bring value to people and businesses.
Partner with teams to prioritize what to build, set goals, and understand their product’s ecosystem.
Atlassian's software products help teams all over the planet, with solutions designed for all types of work. Team collaboration through their tools makes what may be impossible alone, possible together; they value the unique contributions of all Atlassians.
Work on impactful AI and machine learning projects and contribute to solutions. Help build and support machine learning models and AI systems that power Experian's products and services. Participate in research and experimentation with new AI techniques and tools and machine learning models focusing on real-world applications.
Experian is a global data and technology company, powering opportunities for people and businesses around the world.
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.
Partner closely with AI Decisioning customers and internal engineering teams.
Diagnose model behavior, tune ML levers, and analyze incrementality.
Explain insights to marketers and executives.
Hightouch is the modern AI platform for marketing and growth teams, partnering with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Build and deploy production machine learning models and pipelines end-to-end.
Lead technical innovation across the data science organization.
Develop financial models using alternative data sources.
Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans funded by trusted financial institutions.
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.