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.
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.
Conduct analysis and deliver analytical insights to enable and optimize end-to-end collection and recovery strategies.
Analyze portfolio performance at a granular segment level on an ongoing basis and identify trends.
Partner with Operations, Risk, Product, Marketing and Engineering teams to implement strategies and monitor performance.
Founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper connects people who want to borrow money with those who want to invest.
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.
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.
We are seeking a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team. Work on designing, building, and enhancing AI-powered analytics solutions that transform how organizations manage financial risk and optimize spend. Collaborate closely with product managers, engineers, and fellow data scientists to deliver machine learning models and analytical tools that have a direct impact on business outcomes.
Jobgether is a company that uses AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
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.
Act as a data-driven partner providing strategic insights and recommendations.
Conduct deep dives into user behavior to identify growth opportunities.
Build and maintain dashboards and KPIs to track business performance.
Jobgether is a platform that uses AI-powered matching to connect candidates with jobs. They ensure applications are reviewed quickly and fairly, identifying top candidates for hiring companies.
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.
Transform complex healthcare and operational data into actionable insights.
Architect scalable data models and lead high-impact projects.
Mentor other analysts and elevate analytical standards.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
Build and maintain data pipelines integrating financial data from various systems.
Ensure data quality, lineage, and governance standards for finance data systems.
Build predictive models for customer lifetime value, churn, and revenue forecasting.
Oura empowers individuals to understand and improve their health through their Oura Ring and connected app, providing insights into readiness, activity, and sleep. They are a rapidly growing company focused on helping people live healthier and happier lives.
Be the primary insights liaison for the sales organization, partnering with new sales and account development teams to understand clients goals.
Build and deliver executive-level presentations that translate complex data into clear, applicable strategies.
Facilitate workshops and strategy sessions with internal and client partners to align insights with our goals.
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 a people-first culture.
Lead predictive and descriptive analytics initiatives across various domains.
Design research workflows and oversee full-lifecycle development of data-intensive and AI-driven applications.
Partner with teams to translate business challenges into robust, data-backed solutions.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Collaborate with Finance, Sales, Marketing, and Product partners to frame data-centric business questions and deliver clear, actionable insights.
Analyze complex, cross-functional datasets to identify trends, risks, and opportunities that inform strategic and operational decisions.
Build, maintain, and enhance dashboards and reports that make financial and business performance easy to understand for non-technical stakeholders.
GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
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.
Support data integration and modeling for a portfolio of customers.
Collaborate with customer and internal teams to develop, test, and validate simulation models.
Provide feedback to Product and Sales teams to align offerings with customer needs.
Epistemix empowers organizations to make smarter decisions by simulating real-world outcomes using synthetic populations, allowing analysis of complex systems.
Present and translate complex information in relevant business terms
Regularly create, edit, and improve complex SQL queries for data extraction and automation
Develop robust and insightful reports on regular cadences to communicate the performance of regional sales teams, marketing events, business development, and customer lifecycles
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. They combine data, technology, and human expertise to ensure you’re operating in a well-architected and scalable state.
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.