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For Companies At a Glance
- Tasks: Own and enhance client and risk reporting processes using cutting-edge tech.
- Company: Leading insurance-focused investment manager with a dynamic culture.
- Benefits: Competitive salary, professional development, and a supportive work environment.
- Other info: Inclusive workplace that values innovation and offers career growth opportunities.
- Why this job: Make a real impact in a fast-growing industry while developing your skills.
- Qualifications: 3-5 years in reporting or data analysis, strong Python and R skills.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a leading, founder-led insurance-focused investment manager formed through the merger of two established firms.
The Role
Our client is seeking a technically strong specialist to take ownership of, maintain, and further develop its client and risk reporting function. This position is ideally suited to an individual who values precision, consistency, and the delivery of high-quality reporting that stakeholders can rely upon with confidence. The successful candidate will have significant autonomy in maintaining, enhancing, and extending the existing reporting framework, with a strong focus on continuous improvement and automation. The organisation is also progressively integrating AI-assisted development tools to improve efficiency and further evolve the reporting capability. This is a full-time, permanent position based in London.
Main Responsibilities
- Own and maintain end-to-end client and risk reporting processes, from data pipeline management through to final report delivery.
- Lead the insourcing of the PDF rendering pipeline, replacing a current third-party provider with an in-house solution.
- Work within and contribute to the firm’s R library ecosystem, including database connectivity, security and portfolio data, performance statistics, and ILS modelling.
- Perform portfolio data analytics to generate insights into risk exposures, performance, and attribution.
- Collaborate with portfolio managers and client-facing teams to understand reporting requirements and translate them into scalable technical solutions.
- Ensure data quality by investigating discrepancies, identifying root causes, and implementing robust fixes.
- Document processes and develop systems that are resilient and not dependent on individual knowledge.
Candidate Profile
- 3–5 years’ experience in a reporting, data, or quantitative analyst role, ideally within asset management, banking, or financial services.
- Strong programming skills in Python and R, with experience working within structured codebases beyond ad hoc scripting.
- Solid understanding of portfolio risk concepts and their application within reporting environments.
- Strong attention to detail and commitment to accuracy, with the ability to identify and investigate anomalies in data.
- Experience with tools such as R Markdown, Quarto, Pandoc, or headless browser rendering would be advantageous.
- Comfortable working independently and taking ownership of a functional domain.
- Knowledge of Insurance-Linked Securities (ILS), reinsurance, or the broader insurance industry would be beneficial, although training can be provided.
What Our Client Offers
- The opportunity to work within a fast-growing segment of the asset management industry.
- An international, inclusive, and dynamic working environment that values innovation and initiative.
- Ongoing professional development and career growth opportunities.
Equal Opportunities
Our client is committed to equal opportunities and values the diverse perspectives and contributions of its employees. The organisation seeks to foster an inclusive environment where individuals from all backgrounds feel welcomed, supported, and able to contribute authentically in the workplace.
Quant Analyst (Risk) in London employer: eFinancialCareers Sourcing Services
Contact Detail:
eFinancialCareers Sourcing Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analyst (Risk) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and R. This is your chance to demonstrate your technical prowess and attention to detail, which are key for a Quant Analyst role.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of portfolio risk concepts and data analytics. Be ready to discuss how you've tackled discrepancies in data and improved reporting processes in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Quant Analyst (Risk) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Quant Analyst (Risk). Highlight your experience in reporting, data analysis, and any relevant programming skills in Python and R. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our client’s reporting function. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills: Since this role requires strong programming skills, don’t shy away from mentioning your experience with tools like R Markdown or Quarto. If you've worked on projects that involved automation or AI-assisted tools, let us know!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at eFinancialCareers Sourcing Services
✨Know Your Numbers
As a Quant Analyst, you'll need to demonstrate your understanding of data and risk reporting. Brush up on key metrics and analytics relevant to the role. Be ready to discuss how you've used data to drive decisions in past roles.
✨Showcase Your Coding Skills
Since strong programming skills in Python and R are crucial, prepare to talk about specific projects where you've applied these languages. If possible, bring examples of your work or be ready to solve a coding challenge during the interview.
✨Understand the Business
Familiarise yourself with the insurance and asset management sectors. Knowing how your role fits into the bigger picture will impress interviewers. Research the company’s recent developments and how they integrate AI tools into their reporting processes.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current reporting challenges or how they envision the integration of AI tools evolving. This not only shows your enthusiasm but also your strategic thinking.