engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory … such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and datascience skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage … quantitative field such as mathematics, physics, statistics or engineering 2-4 years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and datascience skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java). Excellent More ❯
innovation, efficiency, and productivity. The role will lead AI adoption across corporate functions, support engineering and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with … engineering, scientific, and manufacturing goals. Identify and prioritize AI opportunities to enhance operational efficiency, product quality, and customer satisfaction Leadership and Collaboration: Lead a multidisciplinary team of AI specialists, data scientists, engineers, and manufacturing experts from across our organisation. Foster a culture of innovation and continuous improvement within the organization. Collaborate with other departments, including Operations, Engineering and Science … of AI solutions in engineering and manufacturing processes. Ensure AI solutions meet regulatory standards and industry best practices. Monitor and evaluate the performance of AI systems and processes, making data-driven adjustments as necessary Training and Support: Provide training and support to AWE employees on AI technologies and their applications. Ensure AI team members are equipped with the necessary More ❯
s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and datascience with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … technical and strategic skills. Continuous Deployment: Work iteratively, supported by high test coverage, and contribute to the team's frequent deployment cycles (averaging more than once per day). Data-Driven Decision-Making: Use hypothesis testing and metrics such as issuance and profitability to quickly iterate and optimise our approach. The projects Operational processes and workflow automation: Improve Broker … as a senior engineer working in small, high-performing teams alongside engineers from other disciplines. Experience with relational databases (ideally PostgreSQL). Bonus: Experience with Django An understanding of data analysis and statistics. A strong numerical or technical background, underpinned by a degree in maths, physics, computer science, engineering, or similar industry experience. The salary We expect to More ❯
engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory … such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements. Exposure to machine learning and datascience skills, and applications in finance. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. Interpersonal Communication: You'll engage … a quantitative field such as mathematics, physics, statistics or engineering 4+ years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and datascience skills, and applications in finance is a plus. Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java) Excellent communication More ❯
around Interconnector costs and flows. Provide weekly market comments and insights. Build a gas storage model Build a Virtual power plant model Key Requirements: Sufficient years of experience in Data analytics with a proven ability to extract insights from complex datasets. Proficiency in programming, preferably Python and SQL. Solid comprehension of large language models (LLM) in order to support … the desk’s research. Ability to utilize advanced data analytics and time series analysis techniques to generate actionable signals for commodities trading. Ability to perform data cleaning, transformation, and web scraping to ensure high-quality datasets and insightful analysis. Sharp technical understanding of derivatives contracts. Strong interest in the various Energy supply and demand fundamentals in Europe. Robust … insights effectively to stakeholders to facilitate informed decision-making. High entrepreneurial attitude required to develop a business. The successful candidate is likely to be educated to degree level in DataScience, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline. More ❯
around Interconnector costs and flows. Provide weekly market comments and insights. Build a gas storage model Build a Virtual power plant model Key Requirements: Sufficient years of experience in Data analytics with a proven ability to extract insights from complex datasets. Proficiency in programming, preferably Python and SQL. Solid comprehension of large language models (LLM) in order to support … the desk’s research. Ability to utilize advanced data analytics and time series analysis techniques to generate actionable signals for commodities trading. Ability to perform data cleaning, transformation, and web scraping to ensure high-quality datasets and insightful analysis. Sharp technical understanding of derivatives contracts. Strong interest in the various Energy supply and demand fundamentals in Europe. Robust … insights effectively to stakeholders to facilitate informed decision-making. High entrepreneurial attitude required to develop a business. The successful candidate is likely to be educated to degree level in DataScience, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline. More ❯
s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and datascience with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … effective Forecasting capacity needs for each team to eliminate operational bottlenecks. Evaluating the value of contacting customers at different points in the customer journey and testing these approaches. Conducting data analysis to inform your work and shape effective solutions. This involves conducting your own analysis and working with our Operations Strategy Data Scientists to get even more analytical … distil complex information into key points so that it is succinct and engaging in both written and verbal forms, and accessible to a range of stakeholders (whether that's Data Scientists, operations managers, C-level, etc.) Bonus: Experience with Python or SQL. If you don't have commercial experience then we'd want you to have enthusiasm to learn More ❯
is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, datascience, and a 5-star customer service. The role We are looking for an experienced credit risk manager with a strong analytical background, to lead the team responsible … for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile of our UK portfolio are effectively managed. Key responsibilities of this critical role … traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy More ❯
is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, datascience, and a 5-star customer service. The role We are looking for an experienced Senior Credit Strategy Manager with a strong analytical background, to lead the team … responsible for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical … traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy More ❯
DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the DataScience Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £60,000 per year. Pay is based on relevant experience, skills for the role … our total reward package. About You Your role will vary day to day, but here is a bit of what you can expect: Identifying trends, making links in the data, providing actionable insight, communicating and presenting results to key stakeholders of Pricing & U/W and Trading groups. Co-ordinating key outputs from Pricing & U/W and Trading … to be produced on a regular basis to ensure consistency. Regularly reviewing pricing and underwriting monitors, ensuring key points and changes in trends are escalated. Continually looking to improve data, processes and reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for More ❯
We're looking for a Commercial Analyst (Partnerships) We're looking for a Commercial Analyst with a passion for data and analytics to power our partnerships strategy. The successful candidate will ensure we're making data-driven decisions based on robust testing to help grow our partnerships channel, as well as developing and maintaining the business intelligence (BI … and data infrastructure of the team. We're looking for an inquisitive independent thinker with a proactive can-do attitude. Ready to make an impact? Come join us! The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're … s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and datascience with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities More ❯
a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Quantitative Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design … projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets More ❯
a healthy work-life balance while tackling hard problems in quantitative finance using AI and ML techniques. As a Quantitative Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design … projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets More ❯
source industry standard and internal proprietary technologies to build strategic platforms for onboarding clients through proactive management of the f2b onboarding process. This also involves projects requiring document and data digitization through various NLP techniques where the developer works in close partnership with the R&D team involving new machine learning methodologies, setting the stage for STP and full … automation of the various workflows and processes. Team members have the opportunity daily to work with various global stakeholders (Compliance, Business, Client Implementation, Quality Assurance, Firmwide Ref Data Engineering) to onboard new clients with a focus on efficiency, control, and excellent client service that is mandated per se AML Enhanced Due Diligence (EDD) Policy and select EDD Procedures within … solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration, and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your More ❯
s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and datascience with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … and how to generate maximum value from your developer resource. Excellent communication and interpersonal skills. You thrive in environments that require building relationships built on trust and expertise. Strong data literacy and problem-solving skills. Bonus: A strong interest in tech solutions, and how tech is built (even if you're not a developer) A strong numerate background, i.e. … maths, physics, statistics, computer science, or similar. Experience with SQL, Python, or other programming languages. Experience with financial products or fintech. The salary We expect to pay from £60,000 - £70,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly More ❯
About the Role: Grade Level (for internal use): 12 About the Team We are an innovative team pushing the boundaries of technology, datascience, AI, and research to develop new products that address complex customer challenges. Our work drives cutting-edge forecasting solutions that help the automotive industry navigate supply chain disruptions, evolving technologies, and supplier dynamics. We … critical insights into the supply chain of automotive parts, technology adoption, and supplier logistics. Our team produces granular forecast datasets and written analyses, leveraging multiple research channels and vast data sources to predict technology trends, supplier movements, and industry shifts. About the Role The Portfolio Manager plays a pivotal role in overseeing and optimising a portfolio of strategic automotive … progress, they will enforce adherence to scope, implement efficient project systems, and coach teams to drive accountability and best practices. This role requires collaboration with senior leadership, research analysts, data scientists, product teams, and external development partners to ensure projects align with business objectives and deliver measurable impact. This role is based in the UK, with the option for More ❯
lead the charge. In this mission-critical role, you'll architect and scale our commercial intelligence and analytics function from the ground up. Your mandate? To turn vast, messy data into powerful insights that unlock new growth engines, surface hidden opportunities, and drive next-level GTM efficiency. You won't just be analyzing trends - you'll be shaping the … strategic roadmap of an entirely new frontier. This is your chance to combine datascience, commercial strategy, and operational rigor into a force that powers every revenue decision across the business. Responsibilities: Develop and manage the organization's revenue model, aligning it with headcount, productivity, and quota planning. Collaborate with RevOps and Analytics teams to build accurate, accessible … s degree in a STEM field; an MBA or equivalent advanced degree is preferred. Minimum of 5 years of experience in FP&A, strategic finance, or commercial analytics. Advanced data literacy and modeling expertise, with proficiency in Excel or Google Sheets. Proficient in BI tools such as Tableau, Power BI, or Looker; SQL experience is a strong plus. In More ❯
is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, datascience, and a 5-star customer service. The role We are looking for an experienced credit risk manager with a strong analytical background, to lead the team responsible … for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical role … traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy More ❯
is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, datascience, and a 5-star customer service. The role We are looking for an experienced Senior Credit Strategy Manager with a strong analytical background, to lead the team … responsible for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical … traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy More ❯
is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, datascience, and a 5-star customer service. The role We are looking for an experienced credit risk manager with a strong analytical background, to lead the team responsible … for managing portfolio credit risk for our lending portfolio in the UK. You will work closely with the Chief Credit Officer, our data scientists, the Capital Markets team, and teams from across the business. You will ensure that credit loss rates, and the credit risk profile, of our UK portfolio are effectively managed. Key responsibilities of this critical role … traditional or Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy More ❯
at the same time - we'd love to hear from you! As the Senior Routing Analyst, you'll be embedded in the Routing & Optimisation team, collaborating with c-suite, data scientists, product leaders, and operations leaders to shape and scale our algorithmic decision-making across multiple countries. What you'll do: End-to-End KPI Management Define, monitor and … core routing metrics Build and maintain interactive dashboards that surface trends, anomalies, and opportunities. Lead deep-dive analyses to uncover root causes and translate insights into prioritized action plans. Data-Driven Strategy & Storytelling Craft clear, compelling narratives around quantitative insights to influence product roadmaps and executive decisions. Collaborate with cross-functional stakeholders (Operations, Product, Finance, C-Suite) to integrate … frameworks to validate hypotheses related to routing and optimisation. Ensure statistical rigor and business relevance in all experiments; translate results into clear recommendations. Feature Prioritisation & Roadmap Alignment Partner with data scientists to evaluate potential features, tools and models. Recommend and sequence improvements based on impact, feasibility, and strategic fit. What you'll need to succeed: Significant hands-on experience More ❯
you'll play a pivotal role in building a best-in-class collections strategy that boosts collections rates and enhances overall business performance. In this role, you'll: Use data to identify frictions and optimise Raylo's collections journey. Launch and analyse strategic tests to improve customer repayment behaviour. Eventually take full ownership of Raylo's collections strategy and … lead data-driven improvements across the function. In the short term (3-6 months), you'll focus on becoming fluent in our current collections landscape, building performance monitoring tools and deploying your first round of tests. In the longer term (12+ months), you'll lead strategic innovation in collections, delivering measurable impact on revenue retention and risk reduction. What … You'll Do Build and implement new collections strategies through rapid experimentation and data analysis. Collaborate with teams across Raylo-including Product, Engineering, Finance, and Ops-to align strategy and execution. Use SQL and Looker to deep-dive into datasets and uncover performance insights. Define and track KPIs for collections and device recovery, using them to iterate and scale More ❯
ideal candidate will have a strong quantitative background, deep understanding of commodity markets, and experience in developing and executing algorithmic trading strategies. You will collaborate with researchers, engineers, and data scientists to identify opportunities, optimize strategies, and manage risk in real-time. Key Responsibilities: Research, design, and implement algorithmic trading strategies in commodity markets (e.g., energy, metals, agriculture) including … global macroeconomic trends, geopolitical events, and market structure changes affecting commodities. Required Qualifications: Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance. 3+ years of experience in commodity trading, preferably in a quantitative or algorithmic environment. Strong programming skills in Python, C++, or similar languages used in quantitative More ❯
ideal candidate will have a strong quantitative background, deep understanding of commodity markets, and experience in developing and executing algorithmic trading strategies. You will collaborate with researchers, engineers, and data scientists to identify opportunities, optimize strategies, and manage risk in real-time. Key Responsibilities: Research, design, and implement algorithmic trading strategies in commodity markets (e.g., energy, metals, agriculture) including … global macroeconomic trends, geopolitical events, and market structure changes affecting commodities. Required Qualifications: Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance. 3+ years of experience in commodity trading, preferably in a quantitative or algorithmic environment. Strong programming skills in Python, C++, or similar languages used in quantitative More ❯
ideal candidate will have a strong quantitative background, deep understanding of commodity markets, and experience in developing and executing algorithmic trading strategies. You will collaborate with researchers, engineers, and data scientists to identify opportunities, optimize strategies, and manage risk in real-time. Key Responsibilities: Research, design, and implement algorithmic trading strategies in commodity markets (e.g., energy, metals, agriculture) including … global macroeconomic trends, geopolitical events, and market structure changes affecting commodities. Required Qualifications: Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance. 3+ years of experience in commodity trading, preferably in a quantitative or algorithmic environment. Strong programming skills in Python, C++, or similar languages used in quantitative More ❯
