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For Companies At a Glance
- Tasks: Design and develop innovative software solutions for a leading global market maker.
- Company: Join a top-tier firm that excels in fixed income and equity securities trading.
- Benefits: Enjoy competitive pay based on your skills, with opportunities for remote work.
- Why this job: Be part of a dynamic team that impacts financial markets and drives technology forward.
- Qualifications: Strong Python skills and a passion for solving complex problems are essential.
- Other info: Ideal for tech-savvy individuals eager to make a mark in finance.
The predicted salary is between 43200 - 72000 £ per year.
My client is a leading global market maker across a broad array of fixed income and equity securities. Their world-class capabilities position them to meet the liquidity demands of a diverse group of institutional clients in all market conditions. In partnering with them, clients - including asset managers, banks, broker-dealers, hedge funds, government agencies and public pension programs - are able to gain a powerful trading advantage and are better positioned to meet their investment goals.
In their mission to be the most successful investment team in the world, they hire the brightest minds in technology, research, and finance to create innovative solutions that impact the financial markets and take data analysis to new levels. Software Engineers create next-generation software solutions to support business areas across the firm. Software Engineers work closely with business leaders to develop and deliver custom software solutions that optimize performance and efficiency.
Responsibilities
- Design, develop, test, and deploy elegant software solutions across the firm
- Partner with business leaders to define priorities and deliver custom technology solutions
- Analyze complex business and technical problems
- Make sound decisions proactively and in a self-directed manner
- Provide timely systems support for trading activities
Qualifications
- Strong preference for candidates with experience in proprietary finance, high-frequency trading (HFT) and/or market-making.
- In-depth experience working in Python
- The ambition to solve open-ended problems using analytical methods
- Knowledge of Linux systems
- Strong scripting experience with an ability to integrate various components and systems (in-house and third-party)
- Professional experience working with distributed systems
- Knowledge of SDLC methodologies
- Strong communication and interpersonal skills applicable to a dynamic trading environment
- Minimum Bachelor's degree in Computer Science (or related field)
- A deep passion for technology and software development
Preferred Qualifications
- Experience with proprietary trading and market making
- Experience with Kafka, KdB, SQL Server, Javascript, C++
Salary: Variable - they are market leaders in compensation and pay talent based on technical ability and what they deserve. They do not base offers on your current earnings or average pay for years of experience.
Contact
If this sounds like you, or you'd like to know more, please get in touch!
Sam Jenkins
sam.jenkins@oxfordknight.co.uk
+44 (0)20 7663 2734
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Software Engineer - London / Amsterdam- Leading Global Market Maker | London, UK
✨Tip Number 1
Familiarise yourself with the latest trends in high-frequency trading and market-making. Understanding the nuances of these areas will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the finance and technology sectors, especially those who work in proprietary trading. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your Python skills by working on relevant projects or contributing to open-source initiatives. This practical experience can set you apart from other candidates and showcase your ability to solve complex problems.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on algorithms and data structures. Being well-prepared will boost your confidence and help you perform better during the interview process.
We think you need these skills to ace Python Software Engineer - London / Amsterdam- Leading Global Market Maker | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant technologies mentioned in the job description, such as Kafka or SQL Server. Emphasise your work in high-frequency trading or market-making if applicable.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and software development. Mention specific projects where you've solved complex problems and how your skills align with the company's mission to innovate in financial markets.
Highlight Relevant Experience: In your application, focus on your professional experience with distributed systems and SDLC methodologies. Provide examples of how you've partnered with business leaders to deliver custom technology solutions.
Showcase Communication Skills: Since strong communication is crucial in a dynamic trading environment, include examples of how you've effectively communicated technical concepts to non-technical stakeholders in your previous roles.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Python Expertise
Make sure to highlight your in-depth experience with Python during the interview. Be prepared to discuss specific projects where you've used Python to solve complex problems, especially in a finance or trading context.
✨Understand the Business
Familiarise yourself with the company's role as a market maker and the types of clients they serve. Understanding their business model will help you tailor your answers and demonstrate how your skills can directly benefit them.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you've approached open-ended problems in the past. Use examples that showcase your analytical methods and decision-making abilities, particularly in high-pressure environments like trading.
✨Communicate Effectively
Strong communication skills are crucial in a dynamic trading environment. Practice articulating your thoughts clearly and concisely, and be prepared to explain technical concepts in a way that non-technical stakeholders can understand.
