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- Tasks: Build tools to support Risk Managers and optimise risk monitoring systems.
- Company: A leading global hedge fund with a focus on innovation.
- Benefits: Outstanding medical coverage, paid parental leave, and employee perks.
- Why this job: Join a dynamic team and make a real impact in risk management.
- Qualifications: Bachelor’s degree in computer science and experience in machine learning or trading.
- Other info: Exciting opportunities for career growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A world-leading global systematic hedge fund and trading company is looking for a Software Engineer in risk.
Responsibilities:
- Build tools and infrastructure to support Risk Managers and Risk Analysts.
- Extend and optimize the operational framework used for monitoring and disseminating risk across the firm.
- Collaborate with subject matter experts from other teams to develop and improve data flow and quality.
- Monitor the health and utilization of risk systems with Trading, developers, and risk managers to proactively detect and resolve data issues.
Skills Required:
- Bachelor’s degree in computer science or an equivalent degree.
- Experience in machine learning, algorithms, strategy development, or real-time trading development.
Outstanding benefits are offered, including medical coverage, paid parental leave, and other employee-focused perks. Apply now for more details.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering, Finance, and Information Technology
Industries: Capital Markets, Engineering Services, Financial Services
Risk Software Engineer employer: Algo Capital Group
Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Software Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in risk or trading. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning or real-time trading. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges that are relevant to risk software engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Risk Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, algorithms, and real-time trading development. We want to see how your skills align with the responsibilities of a Risk Software Engineer.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about risk management and how you can contribute to our team. We love seeing genuine enthusiasm!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build tools and optimise frameworks. We appreciate hands-on experience!
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. Don’t miss out!
How to prepare for a job interview at Algo Capital Group
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in machine learning and algorithms. Be ready to discuss your past projects and how they relate to risk management systems. This will show that you’re not just familiar with the concepts but can apply them effectively.
✨Understand the Company’s Risk Framework
Do some homework on the company’s approach to risk management. Familiarise yourself with their tools and infrastructure. This knowledge will help you answer questions more confidently and demonstrate your genuine interest in the role.
✨Prepare for Collaborative Scenarios
Since the role involves working with various teams, think of examples where you’ve successfully collaborated in the past. Be ready to discuss how you’ve improved data flow or resolved issues in a team setting. This will highlight your teamwork skills and adaptability.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s risk systems and the challenges they face. This shows that you’re engaged and eager to contribute. It also gives you a chance to assess if the company is the right fit for you.
