Lead Software Engineer (Risk) - Leading Fintech - London - Up to £200,000 + Exceptional Bonus/B[...] (Basé à London)

Lead Software Engineer (Risk) - Leading Fintech - London - Up to £200,000 + Exceptional Bonus/B[...] (Basé à London)

Full-Time No working from home possible
Golden Bees

At a Glance

  • Tasks: Lead a team to build a cutting-edge risk platform using Python.
  • Company: Join an elite scaling fintech firm at the forefront of technology.
  • Benefits: Enjoy a competitive salary, exceptional bonuses, and flexible working options.
  • Other info: Experience in trading and mentoring is a plus; this is a greenfield project!
  • Why this job: Make a significant impact in a flat-structured, passionate team of top tech professionals.
  • Qualifications: 8+ years in software engineering with a focus on risk platforms and strong Python skills.

Location: London (Heavily Flexible)

Firm: Elite Scaling FinTech Firm

Compensation: Up to £200k + Exceptional Bonus/Benefits Package

Skills: Strong knowledge of Python, extensive experience building and architecting risk platforms, cloud exposure is a huge plus!

My Client is looking for the top 1% of Software Engineers with Risk experience to work on a brand-new greenfield risk platform for a top fintech firm! This team is made up of some of Europe's best Computing professionals, all working in an elite team with a flat structure. You have a chance to make a huge difference and push tech to the limits!

Role Responsibilities:

  • Leading a team of engineers looking after and building a zero-down-time, cloud-based Risk platform
  • Being involved in architecture direction and collaborating with stakeholders.
  • Working heavily in Python
  • Working with other incredibly passionate technologists

Successful Candidates:

  • 8+ years in Software Engineering with a specific focus on Risk Platforms
  • Proven experience of working in modern Python
  • Outstanding CompSci Fundamentals needed!
  • Knowledge of Risk Sensitivity, VaR, black-scholes, etc.
  • Experience mentoring other developers
  • Knowledge of scalability and performance
  • Experience within the trading space is a distinct advantage

If the above is of interest, apply or reach out for more information.

Lead Software Engineer (Risk) - Leading Fintech - London - Up to £200,000 + Exceptional Bonus/B[...] (Basé à London) employer: Golden Bees

Join an elite scaling fintech firm in London, where innovation meets flexibility. With a focus on building cutting-edge risk platforms, this company offers exceptional compensation and benefits, alongside a collaborative work culture that values your expertise and encourages professional growth. Be part of a team of top-tier engineers, where your contributions will directly impact the future of financial technology.

Golden Bees

Contact Details:

Golden Bees Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Software Engineer (Risk) - Leading Fintech - London - Up to £200,000 + Exceptional Bonus/B[...] (Basé à London)

Tip Number 1

Network with professionals in the fintech space, especially those who have experience in risk platforms. Attend industry meetups or webinars to connect with potential colleagues and learn more about the latest trends in risk technology.

Tip Number 2

Showcase your expertise in Python and risk management by contributing to open-source projects or writing technical blogs. This not only demonstrates your skills but also helps you build a portfolio that stands out to hiring managers.

Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of risk sensitivity, VaR, and other relevant financial concepts. Being able to discuss these topics confidently will set you apart from other candidates.

Tip Number 4

Research the company culture of the fintech firm you're applying to. Understanding their values and work environment can help you tailor your approach during interviews and demonstrate that you're a great fit for their team.

We think you need these skills to ace Lead Software Engineer (Risk) - Leading Fintech - London - Up to £200,000 + Exceptional Bonus/B[...] (Basé à London)

Strong knowledge of Python
Experience building and architecting risk platforms
Cloud exposure
Leadership skills
Architecture direction
Collaboration with stakeholders
CompSci fundamentals

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in software engineering, particularly with risk platforms. Emphasise your proficiency in Python and any relevant projects that showcase your skills in building scalable systems.

Craft a Compelling Cover Letter:Write a cover letter that not only outlines your technical skills but also demonstrates your passion for fintech and risk management. Mention specific experiences where you've led teams or contributed to significant projects.

Showcase Relevant Projects:Include a section in your application that details specific projects you've worked on related to risk platforms. Highlight your role, the technologies used, and the impact of your contributions.

Prepare for Technical Questions:Anticipate technical questions related to Python, risk sensitivity, and cloud architecture. Be ready to discuss your problem-solving approach and how you’ve tackled challenges in previous roles.

How to prepare for a job interview at Golden Bees

Showcase Your Python Expertise

Since the role heavily involves Python, be prepared to discuss your experience in detail. Bring examples of projects where you've used Python to build or architect risk platforms, and be ready to explain your thought process and decision-making.

Demonstrate Your Risk Knowledge

Familiarise yourself with key concepts like Risk Sensitivity, VaR, and black-scholes. Be ready to discuss how these concepts apply to real-world scenarios, especially in the context of a fintech environment.

Highlight Leadership and Mentoring Skills

As a Lead Software Engineer, you'll be expected to mentor others. Prepare examples of how you've successfully led teams or mentored junior developers, focusing on your approach to fostering collaboration and growth.

Prepare for Technical Challenges

Expect technical questions or challenges during the interview. Brush up on your computer science fundamentals and be ready to solve problems on the spot, demonstrating your analytical skills and ability to think critically under pressure.