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.
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.
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.
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.
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.
Support design and monitoring of EWA underwriting strategies and forecasting tools.
Query, clean, and analyze large bank transaction datasets using SQL and Python, or R/SAS).
Partner with Product, Engineering, Data Science, and Operations to implement updates to policies and decisioning logic.
Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. Their team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit.
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.
Serve as the primary technical partner to Finance, translating vague business questions into concrete quantitative analyses and automated reporting products.
Own the data lifecycle from raw ingestion to visualization; architecting clean, documented dbt models that replace manual ad hoc queries.
Apply statistical techniques to explain variances in performance and improve the accuracy of forecast models.
Lime is a global shared micromobility business, operating in close to 30 countries. They aim to build a future where transportation is shared, affordable, and carbon-free, with electric bikes and scooters powering over one billion rides.
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.
Suggest and analyze Lifecycle Marketing campaigns rooted in clients’ delight and friction.
Employ and exemplify rigor in mathematical analyses and sound design principles in software development.
Collaborate with the Lifecycle Marketing team to define quarterly and yearly initiatives.
Wealthfront is a company that leverages technology to build powerful, low-cost, and easy-to-use financial products. They aim to help modern investors grow and manage their money and have over 1 million clients and $85 billion of their hard earned savings.
Transform complex data into actionable insights to drive marketing performance and business growth. Analyze customer behaviors, optimize campaigns, and inform strategic decision-making across digital platforms and CRM systems. Translate data into clear, executive-level recommendations, collaborating with marketing, product, and strategy teams.
This position is posted by Jobgether on behalf of a partner company; they use an AI-powered matching process to ensure your application is reviewed quickly and fairly.
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.
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.
Analyze integrated datasets to influence business decisions.
Collaborate with stakeholders to develop solutions and deliver insights.
Identify and resolve data, process, and technical issues.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly. They objectively and fairly assess fit based on the role's core requirements, identifying top candidates for hiring companies.
Collaborate with the Core Experience team to drive the ideation and rigorous analysis of product experiments.
Partner with Product, Finance, and Operations to build and maintain robust reports and dashboards specifically for our Core Experience product lines.
Write and optimize complex SQL queries to extract data from various sources for deep-dive analysis.
Acorns is a financial wellness app that helps everyday people and families save and invest money for the long term. Since 2014, Acorns has grown into a global company with multiple life-stage products serving the needs of kids, teens, adults, and parents.
Utilize strong SQL & Python skills to engineer sound data pipelines and conduct routine and ad hoc analysis.
Build reporting dashboards and visualizations to design, create, and track campaign/program KPIs.
Perform analyses on large data sets to understand drivers of operational efficiency.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. This company fosters a supportive and inclusive work environment.
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.
Monitor applications, transactions, and customer activity to detect and prevent fraud and identity risks.
Apply machine learning models and statistical techniques to enhance fraud detection and prevention capabilities.
Partner with Operations, Credit, Technology and Compliance to align fraud strategies with enterprise objectives
Braviant Holdings is a tech-enabled credit products provider that combines technology and machine learning to transform how people access credit online. They are a privately held company based in Chicago, and have been named multiple times to the Inc. 5000 list and recognized as a Best Place to Work.