At a Glance
- Tasks: Lead a team to enhance credit risk analytics systems and ensure high-quality data.
- Company: Join iwoca, a forward-thinking company revolutionising credit risk modelling.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with hands-on coding and leadership opportunities.
- Why this job: Make a real impact on financial decisions while leading innovative tech projects.
- Qualifications: Strong software development skills and experience in complex systems required.
The predicted salary is between 70000 - 90000 £ per year.
Requirements
- Advanced proficiency in software development.
- Experience building and shaping large systems in complex business domains.
- Experience building robust systems where the 'product' is high-quality data and you can 'speak the language' of analysts and data scientists.
- Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems.
- Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross-functional projects. You can balance hands-on coding with strategic planning.
- You use AI (like Cursor, Claude Code or similar) in your daily flow—whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high-stakes decision-making.
- Desirable: A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field.
- Desirable: Experience building and maintaining analytics systems.
- Desirable: Experience with Python, Snowflake, or PostgreSQL.
- Desirable: Experience working on feature-management systems such as feature services or features stores.
- Desirable: An understanding of complex data systems, including event-sourced data models.
What the job involves
- As Tech Lead, you’ll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca.
- You’ll focus on the platform, pipelines, and production systems around the models, rather than building models yourself.
- This is a hands-on technical leadership role, combining technical direction, line management, and individual contribution.
- Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high-quality solutions.
- Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change.
- Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time.
- Stay hands-on in the codebase, especially when the team is dealing with ambiguity, cross-system complexity, or problems without an obvious owner.
- Lead by example in how problems are approached and how rigour is balanced with speed of delivery.
- Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production.
- Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support.
- Better infrastructure leads to faster experimentation and better models.
- Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering.
Tech Lead, Credit Risk Analytics Platform employer: Iwoca
At iwoca, we pride ourselves on being an exceptional employer, particularly for the Tech Lead role in our Credit Risk Analytics Platform. Our collaborative work culture fosters innovation and growth, providing ample opportunities for professional development while working alongside talented engineers and data scientists. Located in a vibrant tech hub, we offer competitive benefits and a dynamic environment where your contributions directly impact our lending capabilities and the financial success of small businesses.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Lead, Credit Risk Analytics Platform
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to tech leadership and analytics systems. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. We love seeing real-world applications of your expertise, especially in complex data systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who can lead and inspire teams.
We think you need these skills to ace Tech Lead, Credit Risk Analytics Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in software development and any leadership roles you've had. We want to see how you’ve shaped large systems and worked with data scientists!
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Mention your experience with Python, Snowflake, or PostgreSQL. If you've used AI tools in your workflow, let us know how they’ve helped you tackle complex problems.
Be Authentic:We love a bit of personality! When writing your cover letter, be yourself. Share your passion for tech and how you’ve mentored others. We’re looking for someone who can inspire teams, so let that shine through!
Apply Through Our Website:Ready to take the plunge? Make sure to apply through our website. It’s the best way for us to see your application and get you into the process. We can’t wait to hear from you!
How to prepare for a job interview at Iwoca
✨Know Your Tech Inside Out
Make sure you brush up on your software development skills, especially in Python, Snowflake, and PostgreSQL. Be ready to discuss how you've built robust systems in the past and how you can apply that experience to the Credit Risk Analytics Platform.
✨Showcase Your Leadership Skills
Prepare examples of how you've mentored juniors and inspired teams. Highlight specific projects where you balanced hands-on coding with strategic planning, as this role requires a blend of technical direction and team management.
✨Understand the Business Context
Familiarise yourself with the complexities of credit risk modelling and how engineering decisions impact lending. Be prepared to discuss how you can identify the right problems to solve and improve the platform's reliability and performance.
✨Embrace AI Tools
Since using AI tools like Cursor or Claude Code is part of the daily flow, be ready to share how you've leveraged these technologies in your work. Discuss how they help you tackle complex architecture and decision-making, showcasing your innovative approach.
