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 ❯
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance … level engineers. Take a user-centric approach to improving our content management systems, tools, and workflows. Required Education, Experience/Skills/Training: A Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. 7+ years of software development experience, and proficiency in Java, Python … partners. Proficiency in design and implementation of scalable distributed systems providing resilient and high performance for both transactional and eventually consistent behaviors. Strong knowledge of core CS fundamentals and data structures (hashing, trees, graphs, queues, heaps), and a tenacious drive to minimize algorithmic complexity. Experience with web services, preferably AWS, and firm understanding of best practices in architecture and More ❯
systems. It would also be nice if you have: Prior experience with LLMs (OpenAI's GPT-4o, o1, and Claude models from Anthropic) or agentic systems. Prior experience with datascience/ML/NLP. Any Frontend experience. Proven expertise in building highly secure, fault-tolerant APIs. Experience building high-performance, distributed systems at scale. A strong understanding … commitment to information security, all employees are expected to adhere to company security policies and procedures, participate in mandatory security awareness training, and ensure the secure handling of sensitive data in line with ISO 27001 standards. Reporting potential risks or incidents is a key part of fostering our culture of security and compliance. Benefits: Competitive starting salary More ❯
Job Title: KDB Developer Location: London - Hybrid Type: Permanent Position We are actively recruiting multiple KDB Developers at various levels for a fast-paced, data-driven organisation at the forefront of real-time analytics and high-performance computing. This organisation are a consultancy working with some of the leading names in the financial services sector. The Role: As a … KDB Developer, you will be responsible for designing, developing, and maintaining high-performance applications and data analytics solutions using kdb+/q. You’ll work closely with quants, traders, and data scientists to deliver scalable systems and actionable insights from large volumes of time-series data. Key Responsibilities: Design, implement, and optimise kdb+/q-based applications and … data pipelines Work on real-time data ingestion, transformation, and analysis Collaborate with stakeholders to gather requirements and translate them into technical solutions Maintain and enhance existing codebases, ensuring high availability and performance Contribute to architectural decisions and best practices for kdb+ systems Troubleshoot and resolve production issues quickly and effectively Required Skills & Experience: Strong hands-on experience More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Synchro
Job Title: KDB Developer Location: London - Hybrid Type: Permanent Position We are actively recruiting multiple KDB Developers at various levels for a fast-paced, data-driven organisation at the forefront of real-time analytics and high-performance computing. This organisation are a consultancy working with some of the leading names in the financial services sector. The Role: As a … KDB Developer, you will be responsible for designing, developing, and maintaining high-performance applications and data analytics solutions using kdb+/q. You’ll work closely with quants, traders, and data scientists to deliver scalable systems and actionable insights from large volumes of time-series data. Key Responsibilities: Design, implement, and optimise kdb+/q-based applications and … data pipelines Work on real-time data ingestion, transformation, and analysis Collaborate with stakeholders to gather requirements and translate them into technical solutions Maintain and enhance existing codebases, ensuring high availability and performance Contribute to architectural decisions and best practices for kdb+ systems Troubleshoot and resolve production issues quickly and effectively Required Skills & Experience: Strong hands-on experience More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Synchro
Job Title: KDB Developer Location: London - Hybrid Type: Permanent Position We are actively recruiting multiple KDB Developers at various levels for a fast-paced, data-driven organisation at the forefront of real-time analytics and high-performance computing. This organisation are a consultancy working with some of the leading names in the financial services sector. The Role: As a … KDB Developer, you will be responsible for designing, developing, and maintaining high-performance applications and data analytics solutions using kdb+/q. You’ll work closely with quants, traders, and data scientists to deliver scalable systems and actionable insights from large volumes of time-series data. Key Responsibilities: Design, implement, and optimise kdb+/q-based applications and … data pipelines Work on real-time data ingestion, transformation, and analysis Collaborate with stakeholders to gather requirements and translate them into technical solutions Maintain and enhance existing codebases, ensuring high availability and performance Contribute to architectural decisions and best practices for kdb+ systems Troubleshoot and resolve production issues quickly and effectively Required Skills & Experience: Strong hands-on experience More ❯
As a Software engineer, AI retrieval, you will be responsible for designing, implementing, and optimizing the AI retrieval systems that power our platform. You'll work closely with our data scientists, product managers, and other engineers to ensure that our AI models are integrated seamlessly into our applications, providing fast and accurate results. This role requires a deep understanding … that enable our platform to efficiently search and retrieve relevant content. Optimize performance : Ensure that our AI retrieval systems are highly performant, scalable, and can handle large volumes of data and requests. Collaborate with cross-functional teams : Work closely with data scientists, product managers, and other engineers to understand requirements, provide technical guidance, and deliver high-quality solutions. … with the latest developments in AI and software engineering, and continuously improve our systems and processes. ️ Is this you? Language fundamentals : Proficient in Python, with a strong understanding of data types, string manipulation, type casting and conversions. Functions : Experienced in calling functions, using default and variable arguments, and writing lambda functions. Virtual environments : Familiar with tools like venv, virtualenv More ❯
Africa: UK: London BAE Systems Digital Intelligence is home to 4,500 digital, cyber, and intelligence experts. We work collaboratively across 10 countries to collect, connect, and understand complex data, enabling governments, armed forces, and commercial businesses to unlock digital advantages in demanding environments. Job Title: Machine Learning Engineer Requisition ID: 121659 Location: London - Flexible hybrid working arrangements available. … of the latest advancements in AI and ML technologies. You will be part of a multidisciplinary AI team focused on developing AI propositions that benefit our customers. Collaborating with data scientists, AI strategists, and delivery managers, you will engage in activities aligned with our AI Strategy, which includes: Customer Focus: Understanding needs and measuring AI value Market Positioning: Establishing … experiments and translating results into products In a small team, you will have ownership and responsibility, with support from our broader National Security community. You will work closely with data scientists to prepare data, conduct experiments, and develop scalable AI applications, demonstrating how prototypes mature into products. You will also support other teams developing ML solutions. This is More ❯
Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding … that make a difference to our millions of users. As a MLOps Engineering Manager at Trainline you will Build a new team of MLOps Engineers working alongside ML Engineers, Data Engineers, Software Engineers, Data Scientists and Product Managers Define MLOps processes and steer tooling and infrastructure choices across the technology department Own the deployment and operations of machine … products Ensure delivery of high-quality, scalable and maintainable machine learning models and AI Systems that drive measurable impact for our business Act as a bridge between engineering and data, ensuring engineering standards are met while understanding the specificities of data, AI and machine learning challenges Take an active part in our AI and ML community and foster More ❯
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of … 000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. … always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. The Team: The Usage More ❯
is available at . It starts here. Have a global impact on the world of payments. As the Director, Sales Analytics at Paysafe, you will lead a team of Data analysts and data scientists focused on enabling data-driven decisions across our Sales and Relationship Management teams. Your work will inform our go-to-market strategy, deepen … pipeline metrics, and funnel conversion Develop attrition models to identify early warning signals and drive interventions that reduce merchant churn Collaborate with Sales and Relationship Management teams to create data-driven playbooks that enhance engagement and drive revenue outcomes Ensure data integrity and consistent definitions across reporting platforms to enable trusted decision-making at all levels of the … organization Lead, mentor, and inspire a high-performing team of data scientists and data analysts Foster a collaborative and innovative environment that encourages continuous learning and growth What we're looking for: 10+ years of experience in sales analytics, GTM strategy, or related fields, with a strong focus on supporting SMB-focused sales teams Proven expertise in building More ❯
