We are seeking a talented Full-Stack Developer with strong experience in modern web technologies, ideally with deep expertise in Angular or a similar front-end framework, and solid capability across backend technologies. The ideal candidate is enthusiastic, collaborative and delivery-focused, with a strong sense of ownership and ability to pick things up quickly in a fast-paced environment. They will bring both a user-centred mindset and the technical depth required to deliver robust end-to-end solutions for both internal and external audiences.

You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working closely with our Client Solutions team to understand requirements, design solutions and ensure exceptional user experience from both a UI and data quality perspective. In addition to project work, you will have regular opportunities to implement enhancements for both business and technology.

Your responsibilities will include: 

• Build, enhance and maintain high-quality, well-tested web applications using Angular and C#
• Contribute to UI architecture, component design, reusability and performance
• Ensure our UIs are intuitive, responsive and accessible across devices and browsers
• Design and implement backend services, APIs and data integrations
• Work across the full application lifecycle: requirements gathering, design, implementation, testing, release and support
• Build high-quality, well-tested code with automated test coverage
• Engage directly with business teams to understand requirements and translate them into thoughtful technical solutions
• Support production systems, investigate issues and implement fixes where required
• Collaborate through code reviews, design discussions, and knowledge sharing
• Build domain knowledge in both business and technology areas

What we are looking for: 

• A bachelor’s or master’s degree in a STEM subject
• 3+ years of full-time professional software development experience
• Strong experience with Angular (preferred), React or other structured modern front-end framework
• Comfortable with enterprise-grade backend technologies such as C#/.NET (preferred) or Java
• Good understanding of modern UI patterns, state management, component-driven development and web performance optimisation
• Solid understanding of application architecture, data modelling and integration patterns
• Strong problem-solving skills across multiple technologies and business domains
• Enthusiastic, collaborative and comfortable working closely with business stakeholders
• Strong communication skills with both technical and non-technical colleagues and a positive, can-do attitude
• Keen about using AI-assisted development tools and integrating them into daily workflow

What would be useful: 

• Experience in UX design principles and creating intuitive interfaces
•  Background in developing external and public facing websites with GDPR compliance
•  Familiarity with automated UI testing tools
• Experience managing bug triage and prioritisation based on user impact
• Basic knowledge of financial performance and risk metrics

Technologies we use: 

• Web: Angular, TypeScript
• Server-side: C#
• Data: MSSQL, PostgreSQL
• Cloud: AWS
• Deployment: Docker, Kubernetes

We are seeking a highly capable Senior Software Engineer to help design, build and evolve resilient, event-driven, cloud-distributed systems. This role is ideal for an engineer who combines deep technical expertise, strong computer science fundamentals, and commercial awareness - someone who not only understands how systems work, but what they are meant to do and why. The role requires a constructive, can-do approach and the ability to operate effectively in a fast-paced setting.

You will work across the full engineering lifecycle from system architecture and data modelling to implementation, testing and operational excellence. You will be encouraged to use modern AI-assisted tooling and continuously improve our platforms, while maintaining a pragmatic balance between innovation and delivery.

You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working primarily in the Client Operations space but also directly with business functions across the firm to understand requirements, design and implement solutions. As well as project work, there are regular allocated windows of opportunity for small enhancements for both the business and technology.

Your responsibilities will include: 

•    Design, evolve and maintain distributed, event-driven systems with high reliability, scalability and observability
•    Contribute to technical strategy and long-term platform direction
•    Write high-quality, efficient and maintainable code with accompanying automated tests and documentation across UI, services and data storage layers
•    Continuously improve existing services, libraries and shared components
•    Ensure systems are operable, measurable and resilient, including appropriate monitoring, alerting and failure-handling strategies
•    Work closely with product and business stakeholders to translate high-level problems into thoughtful technical solutions
•    Collaborate with team through active contribution in code reviews, knowledge-sharing and design discussions
•    Build domain knowledge in business and technology areas
•    Evaluate new technologies pragmatically
•    Contribute to CI/CD pipelines, tooling and infrastructure-as-code

What we are looking for:

•    A bachelor's or master's degree in a STEM subject
•    5+ years of full-time professional software development experience
•    Proven experience building and maintaining cloud-distributed, event-driven or microservices-based systems written in enterprise-grade backend technologies such as C#/.NET (preferred)
•    Strong computer science fundamentals
•    Excellent engineering discipline: clean code, meaningful abstractions, test automation, documentation and version control best practice
•    Natural curiosity and enthusiastic about using AI-assisted development tools and integrating them into daily workflow
•    Keen interest in keeping aware of latest technologies and a measured approach for adopting them
•    Comfortable problem solving across multiple technologies and business domains
•    Collaborative nature and ability to work in a team e.g. partnering with business users and technologists
•    Ability to have constructive technical discussions

What would be useful:

•    An interest or experience with Angular and Typescript
•    Familiarity with performance-tuning PostgreSQL and/or MSSQL
•    Experience in financial services

Technologies we use: 

•    Web: Angular, TypeScript
•    Server-side: C#
•    Data: MSSQL, PostgreSQL
•    Cloud: AWS
•    Deployment: Docker, Kubernetes

Winton leverages quantitative analysis and cutting-edge technology to identify and capitalize on opportunities across global financial markets. We foster a collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data-driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High-quality, well-managed data forms the critical foundation for our quantitative research, strategy development, and automated trading systems.
 
As a Data Engineer within our Quantitative Platform team, you will play a pivotal role in building and maintaining the data infrastructure that fuels our research and trading strategies. You will be responsible for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines. Working closely with quantitative researchers and technologists, you will tackle complex challenges in data quality, normalization, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.
 

Your responsibilities will include:

• Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet our stringent requirements for research and live trading.
• Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices and ensuring seamless consumption by our automated trading systems.
• Engineering and maintaining sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets, directly upholding the quality standards essential for the efficacy of our quantitative strategies.
• Providing expert operational support for our data pipelines, rapidly diagnosing and resolving critical issues to ensure the uninterrupted flow of high-availability data powering our daily trading activities.
• Participating actively in team rotations, including on-call schedules, to provide essential coverage and maintain the resilience of our data systems outside of standard business hours.

What we are looking for:

• 1+ years’ experience building ETL/ELT pipelines using Python
• Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg. 
• A commitment to engineering excellence and pragmatic technology solutions.
• A desire to work in an operational role at the heart of a dynamic data-centric enterprise.
• Excellent communication and collaboration skills, and the ability to work in a team.

What would be advantageous:

• Strong understanding of financial markets.
• Proficiency working with large financial datasets from various vendors.
• Experience working with hierarchical reference data models.
• Proven expertise in handling high-throughput, real-time market data streams
• Familiarity with distributed computing frameworks such as Apache Spark
• Operational experience supporting real time system