At a Glance
- Tasks: Design and build innovative solutions for the Invesco ETF platform using cutting-edge technology.
- Company: Join Invesco, a leading global investment firm with a collaborative culture.
- Benefits: Enjoy flexible working, competitive salary, healthcare, and generous leave policies.
- Other info: Dynamic work environment with opportunities for growth and community involvement.
- Why this job: Make a real impact in finance while working with advanced tech and talented teams.
- Qualifications: Experience in software or data engineering, especially with Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.
Job Description
We have an outstanding benefits package which includes:
- Company-provided healthcare
- A competitive annual leave allowance
- Flexible working options, including hybrid working arrangements
- Generous pension provisions
- Income protection
- Health and wellness benefits
- Volunteering days
- Enhanced parental leave
- Life insurance
Your role:
We are seeking a Senior Engineer, Investment Technology to design, build, and support capabilities for the Invesco ETF platform, including applications and workflows that power portfolio construction, trading, analytics, and operational processes across Equities, Fixed Income, and Alternatives. This role will partner closely with portfolio managers, quantitative researchers, and business teams to deliver scalable, high-performance solutions that support both technology-owned platforms and business-driven workflows (e.g., co-developed tools such as dashboards and portfolio management utilities). The engineer will play a key role in modernizing the platform architectures while improving data pipelines, system reliability, and development standards. You will work in a fast-paced environment requiring strong expertise in data engineering, application development, and distributed systems, with a focus on building resilient, production-grade solutions and reducing operational risk. The role requires a hands-on mindset, strong ownership, and the ability to collaborate across global teams to drive delivery and continuous improvement. The role reports to Associate Director, Investment Technology supporting the ETFs business.
What you will be doing:
- AI‐accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‐generated code.
- Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem.
- Develop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systems.
- Build robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines.
- Design and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows.
- Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution.
- Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).
- Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases.
- Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks.
- Collaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions.
- Continuously improve the platform through modern engineering practices, including testing, performance optimization, and AI-assisted development.
- Participate in production support and on-call rotation as needed.
What you will bring:
- Proven hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).
- Proven Python experience, including data processing, APIs, or service-based architecture.
- Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows.
- Experience with cloud-native development (AWS) and containerized environments.
- Experience with CI/CD, DevOps practices, and automated testing.
- Exposure to portfolio analytics, risk models, or investment workflows preferred.
- AI‐assisted development fluency: daily use of AI tools for coding, test generation, refactoring, documentation, and design exploration—plus the ability to evaluate/correct AI‐generated code for security, performance, and maintainability.
- Understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling).
- Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing).
- Bachelor’s in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred.
- CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required.
- Problem-solving skills and the ability to operate in a fast-paced, high-impact environment.
Disability Confident Scheme:
Applicants who opt in to the Disability Confident Scheme and meet the ‘minimum criteria’ for the role will be offered an interview. We are committed to providing an inclusive recruitment process for all candidates who make an application. By opting-in to this scheme, applicants will be disclosing that they have a disability solely for the purpose of the Disability Confident Scheme. The Disability Confident Scheme only guarantees an interview – it does not automatically mean that applicants interviewed will gain employment with Invesco at that time.
Our commitment to the community and environmental, social and governance investing:
We partner with charitable organisations globally to make an impact in the communities where we live and work. Our people are encouraged to support the charities they feel most passionate about. We are also committed to environmental, social and governance (ESG) investing. We serve our clients in this space as a trusted partner both on specific responsible investment product strategies as well as part of our commitment to deliver a superior investment experience.
Senior ETF Engineer, Investment Technology employer: Invesco Real Estate
Invesco is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. With a robust benefits package that includes flexible working options, generous parental leave, and a commitment to employee growth through continuous learning and community engagement, Invesco fosters a culture of inclusivity and support. Join us to be part of a forward-thinking team that values your contributions and empowers you to excel in the fast-paced world of investment technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ETF Engineer, Investment Technology
✨Get Involved in Finance Communities
Join investment and asset management forums or local finance meetups. Engaging with professionals in these circles can not only help you learn the ropes but also put you in touch with potential employers like Invesco Real Estate, who often scout for talent at such events.
✨Utilise Networking Platforms
Connect with professionals already working in asset management on platforms like LinkedIn. A personal message showing your interest in their role or asking for advice can lead to significant connections that might tip the scales in your favour at companies like Invesco Real Estate.
✨Show Off Your Financial Skills
Consider contributing to investment blogs or even creating your own content. Sharing your insights and analyses can demonstrate your knowledge and passion for the industry, making you stand out when applying for roles at organisations like Invesco Real Estate.
✨Engage with Recruitment Events
Attend finance recruitment fairs and expos. These events are perfect for making a strong impression with recruiters and potentially securing interviews. Many companies, including Invesco Real Estate, attend these events to scout for fresh talent, so make sure you stand out with your enthusiasm and knowledge!
We think you need these skills to ace Senior ETF Engineer, Investment Technology
Some tips for your application 🫡
Highlight Your Analytical Skills:In asset management, it's all about the numbers! Make sure your CV showcases your analytical skills, particularly any experience with financial modelling or quantitative analysis. Employers like Invesco Real Estate want to see how you can dissect data and turn it into actionable insights, so don't hold back on your achievements!
Show Off Your Relevant Qualifications:Having the right qualifications can be a game changer in investment roles. If you've got a degree in finance, economics, or a related field, flaunt it! Also, if you have any certifications like CFA or CAIA, mention those too. It’ll help demonstrate your commitment and expertise in the field to Invesco Real Estate.
Tailor Your Cover Letter to Reflect Passion for Investment:Your cover letter is your chance to express your enthusiasm for the investment world. Share why you're drawn to asset management and your understanding of market trends. The hiring team at Invesco Real Estate will be keen to see that passion and how you keep up with industry news and developments.
Quantify Your Achievements:Don’t just tell them what you did - show them! When detailing your previous experience, include quantifiable achievements to illustrate your impact. Whether it’s percentage growth on a portfolio or cost savings in a project, these figures will help your application stand out to Invesco Real Estate. Numbers speak louder than words!
How to prepare for a job interview at Invesco Real Estate
✨Brush Up on Financial Modelling
For a role in investment asset management, being well-versed in financial modelling is crucial. Make sure you can articulate your experience with tools like Excel or any specialised software you've used. Maybe even prepare a couple of examples of financial models you've built or analysed.
✨Know Your Investment Strategies
Expect questions around different investment strategies and how you would apply them in various market scenarios. Get ready to discuss current market trends and how they impact portfolio management. This shows you're not just about the theory but also keeping an eye on real-world applications.
✨Show Your Analytical Skills
Since this is a full-time role, companies like Invesco Real Estate want to see your analytical thinking in action. Prepare to solve case studies or tackle some numerical puzzles during the interview. Practicing these types of questions will boost your confidence and show off your skills.
✨Discuss Your Long-Term Career Goals
As you’re applying for a full-time position, the interviewers will be interested in your commitment to the field. Be ready to discuss how this role fits into your long-term career plans in asset management. This shows you're not just looking for any job, but you’re genuinely interested in growing withInvesco Real Estate.
