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- Tasks: Develop tools and algorithms to enhance research and trading processes in a tech-focused firm.
- Company: Join a dynamic early-stage tech firm with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Other info: Great opportunity for career growth and collaboration with talented teams.
- Why this job: Make a real impact by building scalable solutions in the finance tech space.
- Qualifications: Expert Python coding skills and experience with fixed income products required.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for an Engineer with a passion for technology and significant breadth of fixed income product and systems experience to join the Systematic Credit Engineering team. This role is ideally suited to an individual with expert Python coding expertise who is eager to build tools and algorithms to support and enhance the research and trading processes at an early-stage tech-focused firm.
You will be responsible for defining and owning end-to-end deliveries including model code and decision support tools to scale the firm, as well as tooling to support and enhance the research process. This will involve using your in-depth knowledge of fixed income instruments and breadth of knowledge of applied mathematical models and libraries to turn productive research insights into reliable and scalable code, as well as building new automation pipelines to automate business processes.
In this varied role, you will also have the great opportunity to collaborate with colleagues across the firm, especially our team of Quantitative Researchers as well as within your team of Quantitative, Systems, and Platform Infrastructure Engineers. Strong stakeholder management skills are essential, as well as an understanding of products across the fixed income asset class (credit, interest rates, bonds, CDS, and related derivatives). Understanding of trade lifecycle, third party system integration, fixed income data, and operational processes will also be highly valued.
Technical Responsibilities- Develop our software development toolkit, including source code control, CI/CD platform, test infrastructure, packaging, and deployment.
- Engage and collaborate with teams outside of Quantitative Engineering, specifically Quantitative Research but also including Risk, Compliance and Portfolio Management.
- Provide expert guidance for projects and meetings requiring engineering input, for example due diligence, client meetings and vendor selection.
- Evaluate data sources used in research and build-out parsers and processors for the same.
- Implement the signals, optimizers, and other software required by our models.
- Implement tools to enable and accelerate the research process.
- Support production models.
- Mentor colleagues within the Engineering team.
- Review and test code and systems, to the standards defined in the software development process.
- As a ‘code owner’ on parts of our repository, maintain the codebase to the highest quality in terms of code reviews and contributions, as defined in the software development process.
- Demonstrable depth of experience with the breadth of fixed income products.
- Experience at a fast-paced start-up, including open-source contributions, and/or a demonstrated ability to scale a codebase with 10-20+ full-time committers.
- Desire to work as part of a team and strong communication skills.
- Expert domain and data knowledge.
- Experience in leading technical projects.
- Expert knowledge of Python, including commercial experience on either large or fast-growing codebases.
- Strong stakeholder management skills and related business analysis.
- Expert knowledge of data platforms/providers and related technologies.
- Experience working with mathematical models and libraries.
- Prior experience mentoring/coaching engineers earlier in their careers.
- Ability to parse problems and present solutions.
- Ownership for the code you write.
- Other asset classes, such as equities.
Senior Associate, Quantitative Engineering in London employer: Ares Management
Contact Detail:
Ares Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Associate, Quantitative Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in quantitative engineering. Attend meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to fixed income products. This is your chance to demonstrate your coding expertise and problem-solving abilities. Make sure to include any open-source contributions too!
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of mathematical models and libraries. Practice coding challenges that focus on algorithms and data structures. Remember, they want to see how you think and solve problems, so talk through your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s get the conversation started!
We think you need these skills to ace Senior Associate, Quantitative Engineering in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your expert Python coding expertise in your application. We want to see how you've used Python in real-world scenarios, especially in relation to fixed income products and systems.
Demonstrate Your Experience: Share specific examples of your experience with fixed income products and any relevant projects you've worked on. We love seeing how you've tackled challenges and contributed to scaling codebases in fast-paced environments.
Collaboration is Key: Since this role involves working closely with various teams, mention any collaborative projects you've been part of. Show us how you’ve effectively communicated and managed stakeholders in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Systematic Credit Engineering team!
How to prepare for a job interview at Ares Management
✨Know Your Stuff
Make sure you brush up on your knowledge of fixed income products and the relevant mathematical models. Be ready to discuss how you've applied Python in real-world scenarios, especially in building tools or algorithms that enhance research and trading processes.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Quantitative Researchers and other teams, be prepared to share examples of past collaborations. Highlight how you’ve effectively communicated technical concepts to non-technical stakeholders and contributed to team projects.
✨Demonstrate Your Problem-Solving Ability
Think of specific challenges you've faced in previous roles and how you tackled them. Be ready to explain your thought process and the solutions you implemented, especially in relation to automating business processes or improving code quality.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s technology stack, their approach to scaling codebases, or how they integrate third-party systems. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.