Data Scientist
•VibeHybrid· 16h
🏷️ Data Science⏰ Full-time⭐ Senior🇫🇷 Paris, France
16h ago
Zopa·3 days ago
We’re looking for a Financial Analyst with strong analytical and data skills as well as financial modelling experience to help build, enhance and scale Zopa’s planning and forecasting capabilities. This is a hands-on modelling role, focused on developing robust FP&A models, improving data flows and creating decision-ready outputs that support long-term planning, scenario analysis, capital management and strategic investment decisions.
The successful candidate will work closely with Finance, Risk, Treasury, Product and Technology stakeholders to translate business requirements into scalable models and intuitive user experiences. The role offers the opportunity to shape how Zopa uses the latest tools to improve the quality and efficiency of key planning processes, and build tools used by senior stakeholders including ExCo, the Board and external stakeholders.
Build and improve core financial models and outputs across P&L, balance sheet, regulatory capital, product forecasts, stress testing and scenario analysis, helping to create decision-ready insight for senior stakeholders.
Proactively identify data, systems or process issues; communicate implications clearly; and drive practical, sustainable improvements to modelling, reporting and planning processes.
Build a strong understanding of Zopa’s products, financial drivers and business model to support effective planning, forecasting and scenario analysis.
Design, build, enhance and maintain Anaplan models, modules, lists, actions, UX pages and related planning processes, ensuring they are robust, scalable, well-controlled and easy for stakeholders to use.
Own or support data flows into and out of Anaplan, including imports, exports, reconciliations, source-data understanding and opportunities for automation, integration and process simplification.
Partner with Product, Risk, Treasury, Finance and Data / Technology teams to improve planning processes and enable more insightful, intuitive reporting and decision support.
Improve model governance and documentation, reducing technical debt, strengthening controls and making key assumptions, definitions, logic and dependencies transparent.
Support core FP&A activities, including budgeting, long-term planning and running scenarios, while helping to automate, simplify and scale core planning processes over time.
You are comfortable working with data and planning systems such as Anaplan, with an understanding of data quality, reconciliations, system dependencies, integration points and opportunities for automation. Experience with AI tools, Python, ETL / data pipelines, BI tools, APIs would be advantageous.
You have strong financial modelling and analytical skills, with a structured approach to model design, documentation, testing, controls and governance.
You bring strong problem-solving skills, attention to detail and curiosity, with the ability to investigate issues, challenging ways of working and explaining complex outputs clearly.
You have a willingness to learn and take on new skills, being adaptable to new technologies alongside existing technical depth.
You can manage multiple priorities, communicate dependencies and trade-offs clearly, and operate effectively where requirements are evolving or ambiguous.
You work well across different organisational functions, including Finance, Risk, Product, Commercial and Technology teams, building strong stakeholder relationships and helping colleagues get the best from Anaplan and related models.
Financial services or banking experience is preferred. Consumer finance, lending or retail banking experience would be particularly relevant.
Anaplan certification, experience with Anaplan Application Lifecycle Management, or experience improving planning-system governance would be advantageous.
Experience in FP&A, finance transformation, management consulting, banking, fintech, product analytics, data analytics or a similar analytical environment would be relevant.
Knowledge of regulatory capital, liquidity, scenario stress testing, IFRS 9, credit risk modelling or bank financial planning would be a bonus.
At Zopa we value flexible ways of working.
We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week.
You'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one.
*Subject to having the right to work in the country of choice
Diversity Statement
Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
Our approach to AI in interviews
At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner of Jobs 2030, we're committed to building AI fluency across our workforce, and we expect Zopians to use AI as part of how they do their jobs.
Because of that, we want to be transparent about how we think about AI use during our hiring process.
Behavioural and competency-based interviews: please don't use AI. These conversations are designed to understand you — your experiences, your judgment, and how you've approached real situations. An AI-generated answer can't tell us that. What it can do is get in the way of us finding out whether we're the right fit for each other.
Technical interviews: it depends on the role. Some technical stages actively welcome AI use, others don't. Your Talent Partner will let you know what's expected at each stage. Where AI is part of the assessment, we'll be interested not just in the outcome, but in how you used it – the tools you chose, your reasoning, and the decisions you made along the way.