Monitor, refine and develop Credit strategies for personal loans.
Create test/control champion/challenger tests and monitoring to inform future strategies.
Perform ad-hoc analytics, create reporting and presentations.
Best Egg, now part of Barclays, is a market-leading, tech-enabled financial platform helping people build financial confidence through innovative lending solutions and financial health tools. As a Barclays company, they combine the agility and customer focus of a fintech with the global reach, stability, and purpose of a leading financial institution.
Drive credit risk frameworks for new acquisition channels including aggregator sites and marketing networks.
Optimize underwriting and real-time decisioning strategies for a seamless customer experience.
Shape product and pricing economics, including NPV modeling and promotional offers.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business accounts, credit cards, and more. They have a growing team and a culture of data-driven decision making and innovation.
Analyze and assess risk by examining financial data, transaction patterns, and user behavior to identify fraud, credit, and compliance risks.
Develop and implement risk controls by partnering with product, engineering, and data science teams to build automated decisioning systems.
Contribute to strategic planning by providing insights on risk trends and policy improvements to support company growth.
Found builds tools to give self-employed people the security of big corporations through a business bank account that automates taxes and expense tracking. The company is a growing fintech startup with a diverse team, offering a collaborative culture focused on making a meaningful impact.
Analyse M-KOPA's repayments data and other data sources to continuously improve credit scorecards and eligibility criteria while managing credit risk.
Refine loan pricing based on credit analysis and customer behaviour.
Test new loan types to understand customer demand and credit performance.
M-KOPA provides financing for everyday essentials accessible to everyone. They have served over 7 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa and are recognized as one of Africa's fastest growing companies.
Leading the credit risk strategy oversight team and owning the delivery of independent oversight and assurance plans.
Supporting the team in reviewing credit strategy and product changes, highlighting key risks and influencing decisions.
Partnering with colleagues to support credit strategy changes, including new product launches and ensuring risk appetite is met.
Monzo is on a mission to make money work for everyone, waving goodbye to complicated traditional banking. After starting as a prepaid card, they have grown, now offering personal & business bank accounts, joint accounts, and credit cards with more to come.
Monitor indicators-key of the credit cycle, as approval, default, losses, return/profitability, cohorts, stability of policies and decision quality.
Develop and run tests to challenge current policies (experiments and incremental changes), covering the complete process: hypothesis definition and test design alignment with stakeholders.
Produce analyses and materials that support decisions (dashboards, deep dives, post-mortems), with clear communication for technical and business audiences.
Zippi is on a mission to boost the 22 million micro and small businesses (MSEs) in Brazil with financial solutions that truly meet their needs. They pioneered the use of PIX as a credit platform, enabling MSEs to access working capital instantly. The company has experienced exponential growth and has granted over R$ 7.6 billion in credit to micro and small businesses across Brazil.
Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. They have an amazing team of 25,200 people in 32 countries.
Design, develop, and optimize predictive risk models and decision frameworks across payment rails and cryptocurrency domains.
Partner with Product, Engineering, and Operations to embed model-driven risk decisioning throughout the customer journey.
Conduct deep-dive investigations into fraud events and payment losses, supporting model governance and regulatory review.
Binance.US is a licensed and regulated U.S. crypto platform providing secure access to over 190 cryptocurrencies with low fees. It is a remote-first team of innovators building the bridge between traditional finance and Web3, committed to financial freedom for all.
Lead the Control Discipline data and technology strategy and roadmap, aligning with Monzo's expansion plans and Group Risk strategy.
Drive risk and control data transformation by partnering with Data and Engineering to translate risk management needs into technology requirements.
Champion AI in risk management by identifying enterprise partners, running PoCs, and building business cases for AI-driven solutions.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions in the UK. With over 10 years of growth, they are known for their hot coral cards, get-paid-early feature, award-winning customer service, and a culture focused on solving problems and changing lives.
Lead analytical work across the merchant risk lifecycle.
Build and maintain queries, dashboards, and reporting.
Investigate high-risk merchant activity.
Wisetack builds consumer lending products for service-based businesses. They are a well-funded startup backed by leading VCs, and the leadership team comes from top fintech companies.