About the role

Aplyr's Quick Take

This role is for a Senior Software Engineer focused on building and maintaining cloud-based, event-driven systems in a financial context. You'll be involved in the entire engineering process, from design to implementation, and work closely with various business functions to deliver solutions.

Good fit

Ideal candidates have strong technical skills in software engineering, particularly in distributed systems, and a background in finance or quantitative analysis. A collaborative, proactive work style in a fast-paced environment will help you thrive here.

Worth noting

The role emphasizes using modern AI tools and offers opportunities for small enhancements alongside larger projects. The company culture is described as friendly and collaborative, which may appeal to those looking for a supportive team environment.

About Winton

Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors.

We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.

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

Equal Opportunity Workplace

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Skills & Tags

typescript aws kubernetes docker ai backend ios data

Aplyr's read

Winton thrives on the intersection of finance and technology, attracting professionals who excel in quantitative analysis and data-driven investment strategies.
Synthesized from recent postings & public sources

What's promising

•Winton leverages cutting-edge technology to enhance investment strategies, appealing to tech-savvy finance professionals.
•The company offers diverse roles, from quantitative research to software engineering, indicating a broad scope for career development.
•Winton's global presence provides opportunities for international exposure and collaboration.

What to watch

•The niche focus on quantitative analysis may not suit those preferring traditional investment approaches.
•High reliance on technology requires continuous adaptation to new tools and methods.
•Limited public information about company culture and work-life balance may concern some applicants.

Why Winton

•Winton integrates data science deeply into its investment process, setting it apart from traditional finance firms.
•The company's commitment to quantitative research attracts experts in financial modeling and data analysis.
•Its global investment management approach offers unique insights into diverse markets.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Winton

Winton

winton.com

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Winton is a global investment management and data science company that uses advanced technology and quantitative analysis to drive its investment strategies.