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- Tasks: Join the Investment Risk team to analyse and manage multi-asset funds and portfolios.
- Company: Dynamic investment firm focused on innovative risk management solutions.
- Benefits: Competitive salary, support for professional qualifications, and a collaborative work environment.
- Other info: Great opportunity for career growth and learning in a supportive team.
- Why this job: Make a real impact in investment risk while developing your coding and analytical skills.
- Qualifications: Strong Python skills and a background in quantitative subjects preferred.
The predicted salary is between 50000 - 70000 £ per year.
Purpose: Work within the Investment Risk team to help 7IM multi-asset funds and model portfolios stay within investment risk parameters and deliver strong risk-adjusted returns. Maintain and develop the investment risk databases, dashboards, models and oversight processes. Work alongside the investment team and wider business to provide excellent analytics. Use coding skills and develop investment risk knowledge with support for professional exams (e.g. FRM or CFA) including use of Bloomberg terminal and risk models.
Responsibilities:
- Run and develop the daily investment risk oversight process.
- Escalate breaches or warning flags that may arise in the daily trading of the multi-asset class UCITS funds, to the risk and investment team in a timely manner.
- Investigate risk exposures and trends, including Market, Liquidity, Derivatives, and Counterparty risks.
- Maintain the risk database and oversight tasks including automating workflows, improving data quality and building scalable reporting solutions using Python and SQL.
- Maintain the internal Liquidity stress testing and ESG risk models.
- Update and improve the risk modelling of securities including liquid alternatives.
- Master knowledge of the Bloomberg terminal and portfolio risk system and its functionalities, including best practices in risk models, and analytics.
- Develop investment risk management and coding knowledge through professional exams and training.
About You
Knowledge:
- A good academic background, likely in hard sciences (Engineering, Physics, Maths etc).
- Strong working knowledge of Python, primarily for data analysis and process automation.
- Working knowledge of SQL and experience working with databases would be an advantage.
- Data analysis, statistical investigation, and quantitative techniques.
- Basic understanding of investments, markets and risk management.
Qualifications:
- MSc or 1st Class BSc Hons in a quantitative subject would be preferred.
- A programming language certification is a ‘nice to have’ e.g. SQL or Python.
- Interest studying towards FRM or CFA professional qualifications is expected and will be supported.
Skills/Other relevant information:
- Strong programming, data analysis and problem solving with the ability to automate and improve existing processes. Attention to detail.
- Lateral thinker with an enquiring and curious mind, willing to learn new skills and adapt to new tasks.
- Initiative and drive to solve complex problems quickly. Proactive.
- A good team player and communicator, with integrity to do the right thing.
- Showcase 7IM’s Vision, Purpose, and Values behaviours.
Investment Risk Developer in London employer: Seven Investment Management
Contact Detail:
Seven Investment Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Risk Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the investment risk space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your coding skills! If you’ve got a portfolio of projects using Python or SQL, make sure to highlight them in conversations. Real-world examples speak volumes.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of risk management and market trends. Being able to discuss current events and their impact on investments will impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Investment Risk Developer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills, especially in Python and SQL. We want to see how you can use these tools to tackle investment risk challenges, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your application for the Investment Risk Developer role. Mention specific experiences that relate to the responsibilities listed in the job description, like your work with databases or risk models.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Seven Investment Management
✨Know Your Numbers
Brush up on your understanding of investment risk metrics and how they apply to multi-asset funds. Be ready to discuss specific examples of how you've used data analysis or coding in past projects, especially with Python and SQL.
✨Showcase Your Curiosity
Demonstrate your inquisitive nature by asking insightful questions about the company's risk management processes. This shows you're not just interested in the role but also eager to learn and contribute to the team.
✨Master the Tools
Familiarise yourself with the Bloomberg terminal and any relevant risk models before the interview. Being able to discuss how you would use these tools in your role will set you apart from other candidates.
✨Highlight Teamwork and Communication
Prepare examples that showcase your ability to work collaboratively within a team. Emphasise your communication skills and how you've effectively escalated issues or collaborated with others to solve complex problems.