At a Glance
- Tasks: Craft technical solutions for Trading and Risk teams while monitoring risk data controls.
- Company: Join a world-leading global hedge fund and trading company at the forefront of finance.
- Benefits: Enjoy generous medical coverage, paid parental leave, and a range of employee-focused perks.
- Why this job: Gain diverse asset class knowledge and collaborate with experts in a dynamic environment.
- Qualifications: Bachelor's degree in computer science and experience in data engineering and programming languages.
- Other info: Ideal for those passionate about risk management and technology in finance.
The predicted salary is between 43200 - 72000 £ per year.
A world-leading global systematic hedge fund and trading company are looking for a Software Engineer in risk. You will work on crafting technical solutions for Trading, Risk Analysts, and Risk Managers. You will gain knowledge across a wide variety of asset classes while implementing and monitoring risk data controls and delivering risk analytics. You will be integral to the interaction between Risk Managers, Risk Development, and other central teams.
Responsibilities:
- Build tools and infrastructure to support the Risk Managers and Risk Analysts
- Extend and optimize the operational framework used for monitoring and disseminating risk across the firm
- Work closely with subject matter experts from other teams to develop and continuously improve data flow and quality
- Work directly with Trading, developers and risk managers to monitor the health and utilization of risk systems to proactively detect/resolve data issues
Skills Required:
- Bachelor’s degree in computer science or equivalent degree
- Machine learning, algo, strategy development or real-time trading development experience.
Outstanding benefits package on offer to support you both professionally and personally. These benefits include generous medical coverage, paid parental leave, and a variety of other benefits focused on providing the best employee experience. For more information please apply now.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering, Finance, and Information Technology
-
Industries
Capital Markets, Engineering Services, and Financial Services
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Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Software Engineer
✨Tip Number 1
Familiarise yourself with the specific risk management tools and technologies used in the industry. Understanding the nuances of risk analytics and data controls will give you an edge when discussing your technical solutions during interviews.
✨Tip Number 2
Network with professionals in the hedge fund and trading sectors. Attend industry events or join relevant online forums to connect with Risk Managers and Analysts, as they can provide insights into the role and potentially refer you to opportunities at their firms.
✨Tip Number 3
Showcase your experience with machine learning and real-time trading development in your conversations. Be prepared to discuss specific projects where you've implemented these skills, as they are highly relevant to the role of a Risk Software Engineer.
✨Tip Number 4
Prepare for technical interviews by brushing up on your programming skills in Python, Java, and C++. Practising coding challenges related to data engineering and risk analytics will help you demonstrate your problem-solving abilities effectively.
We think you need these skills to ace Risk Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with Python, Java, or C++. Emphasise any projects or roles that involved risk management or data engineering.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Risk Software Engineer position. Mention specific skills and experiences that align with the responsibilities outlined in the job description, such as your ability to build tools for risk management.
Showcase Relevant Projects: If you have worked on projects related to machine learning, algorithm development, or real-time trading, be sure to include these in your application. Provide details on your role and the impact of your contributions.
Highlight Collaboration Skills: Since the role involves working closely with Risk Managers and other teams, emphasise your teamwork and communication skills. Provide examples of how you've successfully collaborated with others in past roles.
How to prepare for a job interview at Algo Capital Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, Java, or C++. Bring examples of projects you've worked on that demonstrate your data engineering skills and any relevant machine learning or trading development experience.
✨Understand the Risk Landscape
Familiarise yourself with the concepts of risk management and analytics. Be ready to discuss how you can contribute to building tools that support Risk Managers and Analysts, and show your understanding of the importance of data quality in this context.
✨Communicate Effectively
Since you'll be working closely with various teams, practice explaining complex technical concepts in simple terms. This will help you demonstrate your ability to collaborate with non-technical stakeholders, such as Risk Managers and Trading teams.
✨Prepare Questions
Have insightful questions ready about the company's risk systems and the challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.