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- Tasks: Design and develop high-performance tools that impact investment decisions.
- Company: Leading asset management firm with a dynamic team culture.
- Benefits: Competitive daily rate, collaborative environment, and exposure to financial markets.
- Other info: Opportunity to work closely with portfolio managers and traders.
- Why this job: Join a fast-paced team where tech meets finance and make a real impact.
- Qualifications: Strong Python skills and experience in financial modelling and data analysis.
The predicted salary is between 68000 - 85000 £ per year.
Seeking a Front Office Python Engineer to join our dynamic team within Fixed Income at a leading asset management firm, working closely with portfolio managers and traders. You will design, develop, and maintain high-performance tools and analytics that directly impact investment decisions.
The role requires strong Python skills, with experience in data analysis, financial modelling, and low-latency systems being highly desirable. You will collaborate with cross-functional teams to translate business requirements into robust, scalable technical solutions.
A solid understanding of financial markets, asset classes, and front office workflows will be a significant advantage. This is an excellent opportunity to work in a fast-paced environment where technology and investment expertise intersect.
Role: Quantitative Engineer to work with the Desk. 7+ years Python programming. Someone building or maintaining the pricing and risk infrastructure for a credit derivatives desk. The candidate would sit between quants and technology, translating models into performant, well-architected code.
Contract £850/day - Front Office Senior Python Engineer in Plymouth employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract £850/day - Front Office Senior Python Engineer in Plymouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to financial modelling or data analysis. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and understanding of financial markets. Practice coding challenges and be ready to discuss how you've tackled real-world problems in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you a better chance of getting noticed!
We think you need these skills to ace Contract £850/day - Front Office Senior Python Engineer in Plymouth
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python programming experience in your application. We want to see how you've used Python in real-world scenarios, especially in financial modelling or data analysis. Don't hold back on showcasing any projects that demonstrate your coding prowess!
Understand the Financial Landscape: Since this role is all about the intersection of technology and finance, it's crucial to show us that you understand financial markets and asset classes. Mention any relevant experience you have with front office workflows or credit derivatives to make your application stand out.
Tailor Your Application: Take the time to customise your application for this specific role. We love seeing candidates who can connect their past experiences directly to the job description. Use keywords from the job listing to show us you're a perfect fit for our team!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Stanford Black Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with data analysis, financial modelling, and low-latency systems. Practising coding challenges related to these areas can really help you demonstrate your expertise.
✨Understand Financial Markets
Since this role is within Fixed Income, it’s crucial to have a solid grasp of financial markets and asset classes. Familiarise yourself with the latest trends and how they impact investment decisions. This knowledge will not only impress your interviewers but also help you relate better to the portfolio managers and traders you'll be working with.
✨Prepare for Technical Questions
Expect technical questions that assess your ability to translate complex models into efficient code. Review common algorithms and data structures, and be prepared to explain your thought process clearly. Practising mock interviews with a friend or using online platforms can help you get comfortable with this.
✨Showcase Collaboration Skills
This role involves working closely with cross-functional teams, so be ready to discuss your past experiences in collaborative environments. Share examples of how you've successfully translated business requirements into technical solutions, highlighting your communication skills and teamwork.