
ILIAS Solutions · Almere
OPPORTUNITY Ensure the quality and reliability of data driven applications where accuracy and consistency support operational decision making. At ILIAS A&D BV...
Ensure the quality and reliability of data driven applications where accuracy and consistency support operational decision making.
At ILIAS A&D BV, part of the ILIAS Group, you work on applications that process and expose operational data across logistics,
maintenance and system workflows.
You focus on validating data, testing functionality and ensuring that systems behave as expected in environments where data
quality matters.
Your work supports applications used in operational environments. You ensure that data is accurate, consistent and reliable for
users and systems.
You work with data driven applications where logic, data flows and integrations must be validated. Testing goes beyond user
interfaces and includes validation of data pipelines, queries and processing logic.
You analyze results, identify issues and ensure that systems meet defined requirements and quality standards.
You improve application quality, reduce risk and ensure that data driven systems perform reliably. Your work supports consistent
and trustworthy outcomes.
You validate data driven applications by testing functionality, data flows and system behavior.
You understand how data, logic and system behavior connect. You analyze outcomes and ensure that applications perform consistently
across scenarios.
You work with developers, data engineers and stakeholders. You support collaboration and ensure that quality is maintained across
the development process.
You develop your expertise in testing data driven applications and work with tools and technologies that support modern data
platforms.
At ILIAS A&D BV, you contribute to applications that support operational systems and decision making.
At ILIAS, learning is embedded in the way we work.
You develop through hands on testing, collaboration with teams and exposure to complex systems.
As capability grows, so does your impact.
You support continuous improvement of application quality and contribute to reliable and scalable systems.
Ready to ensure quality in data driven applications and systems
Apply directly or contact tim.van.dam@ilias-solutions.com
🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ ---------------------------------------------------------------------------------------------------------------------------------- 📍London or Remote (UK) | 💰 £79,000 - £93,000 + Incentive Awards tied to your performance + Benefits 🌟 About the team: Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us! Our Credit Model Validation team is crucial in providing independent oversight and challenge to our model development teams in the first line of defence to help Monzo grow safely and ensure that the models we use deliver good outcomes for our customers. We’re looking for someone (maybe you?!) to join our validation squad and provide expert independent validation and oversight across our suite of credit models, covering critical business disciplines such as credit strategy and impairment. You’ll have a particular focus on models used for customer-level decisioning and defining our credit strategies - such as underwriting scorecards, origination PD models and Net Present Value (NPV) / unit economics models - across all our lending products. Strong data and analytical skills are a must, as is deep expertise in credit risk modelling. You’ll have hands-on experience in either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. 🔑 You’ll play a key role by… * Leading hands-on independent validation of models used for credit decisioning within our Borrowing strategies - covering a range of machine learning, decision science and NPV models. You will be ensuring that models are fit for purpose, appropriately governed, explainable and performing as expected * Supporting oversight and validation of broader credit risk models, including IFRS9, stress testing and economic response models * Developing deep understanding of Monzo’s credit models, and using this to provide impactful input and challenge to model developers to improve our modelling capabilities * Reviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is required * Performing statistical analyses to independently assess model performance, including developing challenger models where appropriate to test model assumptions and strengthen validation conclusions * Improving our Model Risk Framework, including overseeing our policies, standards and procedures to help embed best practice across the business. This means making sure we follow up-to-date regulatory guidelines, and adapt our processes to make sure they remain relevant as modelling techniques evolve * Writing clear and impactful model validation reports, and presenting the findings and actions in relevant committees * Partnering with colleagues in the first line of defence credit strategy and modelling teams - and wider risk teams across Monzo - to support the embedding of our model risk framework and establishing consistent validation standards across the organisation * Embracing new and innovative technology, including leading the adoption of AI tools to enhance our model validation approach 🤩 We’d love to hear from you if… * Have a strong background and practical experience in credit model development and/or validation - in particular with exposure to machine learning or statistical models used in credit decisioning, such as decision science scorecards, origination / underwriting PD models, and NPV / unit economics modelling * Are data driven, with strong analytical skills and deep understanding of statistical techniques for credit and model risk. Being able to get hands on with data is critical - so strong SQL and Python skills are essential, and experience with data visualisation tools such as Tableau, Looker or similar is a plus! * Understand how models are used in real-time decisioning and lending strategies, and how to balance commercial and risk outcomes * Have strong written and verbal communication skills, and are able to articulate problems and solutions using clear and simple language. This is particularly important for breaking down complex issues and priorities to non-experts * Have a track record of building and maintaining trusting relationships with stakeholders at all levels, and can provide effective and respectful challenge * Are impact-driven, and proactive in identifying issues and opportunities to improve outcomes for both our customers and our business * Are passionate about technology, and what we’re doing here at Monzo excites you! Our technology stack We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): * Google Cloud Platform for all of our analytics infrastructure * dbt and BigQuery SQL for our data modelling and warehousing * Python for data science and machine learning * Go to write our application code * AWS for most of our backend infrastructure The interview process: Our interview process usually involves up to four main stages via Google Hangouts: * An initial call with our recruiter * A call with our Senior Model Validation Manager, the hiring manager for the role * A role-specific call with colleagues from our credit modelling teams. We’ll share a short case study in advance, but you won’t need to submit a written response; we’ll use it to guide the discussion during the interview. * A behavioural interview 🙌 What’s in it for you * 💰 £79,000 - £93,000 + Incentive Awards tied to your performance benefits. * 📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). * ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. * 📚 £1,000 learning budget each year to use on books, training courses and conferences. * 🏡 We will set you up to work from home; all employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup. * ➕ Plus lots more! Read our full list of benefits. We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. We’ll close this role once we have enough applications for the next stage, so please apply as soon as you can - we don’t want you to miss out! LinkedIn Tags: #LI-TK1 ---------------------------------------------------------------------------------------------------------------------------------- Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
INTRO Hamburg | base 80.000 – 100.000 € per year | 30 Days Vacation | English B2/C1 Are you enthusiastic about intelligent and effective software solutions to the energy transition? Join us at suena energy as Senior Quant Trading Analyst (f/m/x) and experience a role that offers much more than “just” trading: You’ll combine market strategy, hands-on execution, and direct PnL responsibility across European power markets—using cutting-edge tools and shaping the processes yourself. suena energy is a green tech startup specializing in algorithmic energy trading for energy storage systems and renewable energies. Our vision: a world where clean energy is used reliably, economically, and intelligently. With our AI-based optimization and trading software, we maximize the revenues of operators of large-scale energy storage and renewable assets on short-term electricity and balancing markets - while simultaneously minimizing their risks. We’re a team of 45 people, combining a warm, supportive team culture with true startup drive. Following our successful Series A, we’re investing in expanding our team – and we’re excited to strengthen our team with new talent and continue growing together. What sets this seat apart? * Build & shape trading workflows: This is not a classic trading seat – you’ll actively design, optimize, and scale our trading workflows and strategies. Your quant and algo skills will directly influence how our system trades, adapts, and evolves. You’re here to build, not just operate. * Modern trading tools: Work with PowerBot - the new kid on the block in trading tech - and other advanced tools. * High speed, zero bureaucracy: Make decisions and see your impact - no corporate red tape, just agile execution. * Strategy is core to your role: You actively shape, refine, and own trading strategies - contributing to the foundation of our trading setup. Who you’ll work with: * Trading & Tech Crew: Collaborate daily with a cross-functional team of developers, data scientists, traders and trading analysts - everyone close to the action, no silos. * Sparring partner: Juri – an experienced trader (ex-Sunnic, ex-Centrica, ex-Vattenfall), expert in renewables and algo trading. You’ll complement his market expertise with your quant and strategy skills, shaping and advancing our trading setup together. YOUR MISSION * Strategy Development: Develop and refine models, test new approaches, and collaborate closely with quants, data scientists, and developers. * Risk Management: Spot risks early, think in scenarios, and ensure we’re prepared for anything. * Quantitative Analysis: Use Python and other tools to analyze and optimize trading operations, and develop new strategies. * Live Trading: Monitor markets, prices, and live trading results; react quickly to anomalies; improve our automated processes. YOUR PROFILE * At least 3 years’ experience in power trading (CWE or UK), covering the full trade lifecycle. * Analytical and strategic thinker – you leverage data, mathematics, and logic to develop new trading approaches and spot market opportunities. * Experience optimizing processes, developing tools, and ideally trading renewables. * Python or SQL skills are mandatory – or you impress with hands-on trading experience. * Fluent English (written and spoken); German is a bonus. * You stay sharp and make confident decisions—even when the pressure is on. * Startup mentality: you embrace change, seize opportunities, and love to get things done. * You thrive in a collaborative, team-driven environment and take ownership of your results. WHY US? * Shape the Future: Help drive the energy transition with us! Join a booming market, real startup spirit, and make your mark in sustainability. * Connecting & Co-Creating: Strategy off-sites (like Denmark 2024) and onsite weeks for real collaboration and shared ideas. * Work Your Way: Home office and flexible hours – you know what works best for you and your team. * Team Spirit: Yoga, shared lunches, after-work fun – we support each other and keep the vibe strong, even when it’s busy. Barista, DJ, guitarist included – we can’t wait to discover your hidden talent! * Fair & Transparent: Clear structures, democratic decisions, and a feedback culture where your voice counts. * Body & Mind: Urban Sports Club membership, wellbeing check-ins, and mental health support – your energy matters. * New Office Vibes: 10th-floor office with rooftop terrace, canteen, great views, ergonomic desks, hardware of your choice, and pet-friendly! * Sustainable Extras: Deutschlandticket, FutureBens, and more – supporting your mobility and future. WHAT ELSE? We look forward to receiving your application, earliest start is as soon as possible. If you have any questions, feel free to reach out - your contact is Kathi (Interim Talent Partner). You’ll hear back from us within 5 working days of your application. We value your time and want to make the process as transparent as possible. Once we receive your application, we’ll send you a confirmation email outlining the next steps and what you can expect from our interview process. We can’t wait to meet you! suena energy is an equal opportunity employer. We celebrate diversity and reject any form of discrimination. It is important to us to create an inclusive environment for all our team members. We want to particularly emphasize that our call for applicants is addressed to all genders. The integration of people with disabilities is an opportunity and not a problem for us, and we, therefore, welcome their application.
🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ ---------------------------------------------------------------------------------------------------------------------------------- 📍Cardiff, London or Remote (UK) | 💰 £76,500 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing Our team⭐ Our Borrowing business is growing rapidly across both existing products and a range of new initiatives. From credit cards and loans to emerging lending products, we’re building solutions that give customers greater control, transparency, and flexibility in how they manage their finances. If you’re interested in using data to understand lending performance, improve decision-making, and support the development of credit strategies, this role offers the opportunity to work on meaningful problems with clear business impact. This is a high-impact, cross-functional environment where you’ll work closely with Product, Engineering, Data Science, Finance, and Risk & Control to drive sustainable, profitable, and responsible growth across our lending portfolio. You’ll operate at the intersection of credit risk, commercial performance, and customer experience, helping ensure Monzo’s borrowing products remain competitive, scalable, and aligned with strong customer outcomes. 🔑You’ll play a key role by... As a Senior Credit Analyst, you’ll play a critical role in shaping Monzo’s credit strategy across credit card products. Your responsibilities will include: * Design and refine credit underwriting and limit strategies to optimise risk and growth * Analyse portfolio performance (arrears, utilisation, revenue, losses, vintage curves) and identify actionable insights * Build and interpret NPV and profitability models to inform strategic decisions * Develop segmentation frameworks to identify revenue and risk pressure points * Lead analytical deep-dives into portfolio trends and emerging risks * Partner with Product and Engineering teams to design and test new features and strategy changes * Evaluate the commercial and customer impact of pricing, eligibility, and limit decisions * Present clear, structured recommendations to senior stakeholders * Support regulatory and governance requirements, ensuring strategies align with policy and risk appetite Locations & flexible working: Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles. We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most. Work the way that works for you at Monzo! 💼 🤩 We’d love to hear from you if… You have: * Experience in unsecured lending, ideally within credit cards * A strong understanding of credit card economics (APR, utilisation, interchange, revolving behaviour, cost of funds, losses). Experience of modelling rewards cards is a plus. * Experience building or influencing credit strategies (e.g. underwriting, limit management, pricing) * Strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus * Experience working with NPV models, profitability analysis, and portfolio forecasting * Confidence communicating complex analysis clearly to non-technical stakeholders * Experience collaborating cross-functionally in a fast-paced environment * An interest in balancing risk, growth, and customer outcomes We're on the look out for L40 Senior Credit Analysts at the moment, you can read more in our Data Progression Framework 🙌 What’s in it for you 💰£76,500 to £95,000 + Incentive Awards tied to your performance + Benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits here Interview process: Our typical process is structured as: 1. Recruiter call 2. Initial hiring manager call 3. Take-home task 4. Final interviews - (3x) including case study, role-specific, and behavioural interviews Our average process takes around 3-4 weeks but we will always work around your availability. #LI-LG1 #LI-Remote ---------------------------------------------------------------------------------------------------------------------------------- Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊