At a Glance
- Tasks: Develop and enhance applications for equity derivatives trading and analytics.
- Company: Join a leading firm shaping the future of trading technology.
- Benefits: Dynamic environment, career growth, and opportunities to innovate.
- Other info: Diversity and inclusion are at the heart of our company culture.
- Why this job: Make a real impact in a fast-paced, collaborative team.
- Qualifications: Strong Python skills and experience with systematic trading technology.
The predicted salary is between 80000 - 100000 £ per year.
Join us to shape the future of equity derivatives trading through technology. You'll partner closely with trading desks, technology teams, and Quantitative Research to deliver impactful solutions. We offer a dynamic environment where you can propose and explore new ideas, automate processes, and collaborate globally. Your work will directly influence business transformation and provide opportunities for career growth. Be part of an agile, delivery-focused team that values creativity and excellence.
As a Senior Software Engineer in the Equities Front Office Trading and Analytics Team, you will lead the Systematic Quoting Platform workstream for EMEA. You will develop and enhance applications critical to the business, working closely with trading, sales, and Quantitative Research teams. Your expertise in Python and agentic development will drive automation and innovation. You will contribute to a global platform, ensuring stability and delivering high-quality solutions. This role offers the chance to make a meaningful impact in a fast-paced, collaborative environment.
Job Responsibilities:- Develop and enhance applications for equity derivatives trading and analytics
- Partner with trading desks, technology teams, and Quantitative Research to deliver solutions
- Lead the Systematic Quoting Platform workstream for EMEA
- Maintain and improve the existing technology stack to ensure stability
- Automate Front Office processes and functions using technology solutions
- Collaborate with global and local counterparts to solve business problems
- Participate in business transformation projects across analytics, marking, and publishing
- Propose and explore new solutions to drive competitive advantage
- Apply disciplined code management, testing, and deployment practices
- Break down requirements into technical deliverables and estimate effort
- Communicate effectively with team members and stakeholders
- Hands-on experience with systematic trading technology platforms
- Proven ability to develop, deploy, and maintain commercial service-oriented applications
- Strong Python skills and familiarity with agentic development (ADLC)
- Business knowledge of simple derivative products (vanilla options, variance swaps, strategies involving vanillas)
- Understanding of pricing and risk evaluation using Greeks
- Experience with at least one modern programming language (Python, Java, etc.)
- Knowledge of at least one relational database (Sybase, SQL Server, Oracle, etc.)
- Effective utilization of unit testing
- Experience across the full project lifecycle
- Ability to work within a global team and contribute to a global platform
- Strong problem-solving skills with mathematical and technological focus
- Ability to thrive in a fast-paced, team-oriented environment
- Excellent communication skills for problem description and solution explanation
- Equities business knowledge or relevant experience in other business areas
- Unix or Linux knowledge
- Working knowledge of continuous integration and deployment processes
- Experience with project management
- Familiarity with service-oriented platforms and current generation open source frameworks
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Lead Software Engineering - Python - Front Office Quant Developer in London employer: Ccgmag
Join a leading firm that champions innovation and collaboration in the fast-paced world of equity derivatives trading. Our dynamic work culture fosters creativity and excellence, providing you with the opportunity to influence business transformation while working alongside talented professionals globally. With a strong commitment to employee growth and a diverse, inclusive environment, we empower our team members to explore new ideas and drive impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineering - Python - Front Office Quant Developer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in trading or technology. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any relevant applications you've developed. This is your chance to demonstrate your expertise and creativity directly to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Expect technical questions that test your knowledge of systematic trading technology and Python. Practising coding challenges can really help you shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of our dynamic team.
We think you need these skills to ace Lead Software Engineering - Python - Front Office Quant Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Software Engineering role. Highlight your Python expertise and any relevant projects you've worked on, especially those involving systematic trading technology.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about equity derivatives trading and how your background makes you a great fit. Don't forget to mention your experience with automation and collaboration in global teams!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in past roles. We love seeing candidates who can think critically and come up with innovative solutions, especially in fast-paced environments.
Apply Through Our Website:We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right team!
How to prepare for a job interview at Ccgmag
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any other programming languages mentioned in the job description. Be ready to discuss your experience with systematic trading technology platforms and how you've applied agentic development in past projects.
✨Understand the Business
Familiarise yourself with equity derivatives, especially vanilla options and variance swaps. Being able to talk about how these products work and their impact on trading will show that you’re not just a tech whiz but also understand the business side of things.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Brush up on your problem-solving skills, particularly those involving mathematical concepts and risk evaluation using Greeks. Practice explaining your thought process clearly and concisely.
✨Showcase Your Collaboration Skills
Since this role involves working closely with trading desks and global teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success in fast-paced environments.
