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- Tasks: Join the Investment Risk team to analyse and manage multi-asset funds and portfolios.
- Company: 7IM, a forward-thinking investment firm focused on innovation and collaboration.
- Benefits: Competitive salary, support for professional qualifications, and opportunities for growth.
- Why this job: Make a real impact in investment risk management while developing your coding skills.
- Qualifications: Strong background in quantitative subjects and proficiency in Python and SQL.
- Other info: Dynamic team environment with a focus on learning and professional development.
The predicted salary is between 50000 - 70000 £ per year.
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 LLP
Contact Detail:
Seven Investment Management LLP 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 field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got coding chops in Python or SQL, consider building a small project or dashboard to demonstrate your abilities. Share it during interviews to stand out!
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of market risks and investment strategies. Being able to discuss these topics confidently will impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. It shows initiative and enthusiasm!
We think you need these skills to ace Investment Risk Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Investment Risk Developer role. Highlight your coding skills in Python and SQL, as well as any relevant academic achievements or projects that showcase your analytical abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about investment risk management. Share specific examples of how you've used data analysis or programming to solve problems, and express your eagerness to learn and grow within our team.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise! Mention any experience you have with Bloomberg terminals, risk models, or database management. We love seeing candidates who can demonstrate their ability to automate processes and improve data quality.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people in our team!
How to prepare for a job interview at Seven Investment Management LLP
✨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 risk parameters you've worked with, and how you’ve used Python or SQL to analyse data in past projects.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities, especially in Python and SQL. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that automates processes or analyses data effectively.
✨Familiarise Yourself with Bloomberg
Make sure you know the ins and outs of the Bloomberg terminal. Understand its functionalities related to risk models and analytics, and be prepared to discuss how you’ve used it in previous roles or projects.
✨Be Curious and Proactive
During the interview, show your inquisitive nature by asking insightful questions about the team’s current challenges and how you can contribute. Highlight your willingness to learn and adapt, especially regarding professional qualifications like FRM or CFA.