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For Companies At a Glance
- Tasks: Analyse risk reports and collaborate with portfolio managers to optimise investment strategies.
- Company: Join a leading global asset management firm focused on innovative investment solutions.
- Benefits: Enjoy a hybrid working model and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping investment strategies with real-world impact.
- Qualifications: Strong background in quantitative finance, risk management, and programming skills required.
- Other info: Ideal for those passionate about finance and eager to tackle complex challenges.
The predicted salary is between 43200 - 72000 £ per year.
Paritas is aligned with a leading global asset management client who is seeking a Senior Risk Analyst to support across multi-strategy, multi-asset portfolios. The nature of the role demands a quantitative mindset, programming ability, and good knowledge of factor models and derivatives. You will possess good communication and interpersonal skills, a good understanding of risk models and different investment processes, combined with self-sufficiency and initiatives.
Key Responsibilities:
- Design processes to ensure that accurate risk analytics are available on a timely basis.
- Analyse risk attribution reports for use by the Portfolio Managers, Heads of, Asset Class Heads, and other interested users of the data, such as senior management, board directors, marketing, and compliance.
- Work with Portfolio Managers in regular risk review meetings, as well as off-cycle focus discussions, covering all aspects of investment risk, performance and other relevant metrics to ensure portfolios are managed in the client’s best interest.
- Partner with investment teams on fund structuring and portfolio optimisation strategies.
- Contribute to the development of portfolio risk analysis, enhancing existing risk modelling and analytics while determining creative approaches to decompose risk and performance or create new, insightful analysis on funds.
Qualifications:
- Background in investment risk, quantitative finance, or front-office risk management.
- Experience across multiple asset classes (e.g. equities, commodities, fixed income, rates, currencies), with good understanding of risk and return profiles in at least 2 of these areas, and the ability to quickly become proficient in others as required.
- Strong knowledge of derivatives (types, valuation and pricing, and risks).
- Strong knowledge of risk models, with a focus on factor models.
- Strong quantitative skills, including Excel, Python, and SQL for risk analytics and data processing.
- Strong understanding of risk concepts, stress testing and scenario analysis.
Investment Risk Analyst (&Senior Analyst) employer: Paritas Recruitment
Contact Detail:
Paritas Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Risk Analyst (&Senior Analyst)
✨Tip Number 1
Familiarise yourself with the latest trends in investment risk analysis, particularly focusing on multi-strategy and multi-asset portfolios. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your commitment to staying updated in the field.
✨Tip Number 2
Brush up on your programming skills, especially in Python and SQL, as these are crucial for data processing and risk analytics. Consider working on personal projects or contributing to open-source initiatives to showcase your abilities in these areas.
✨Tip Number 3
Network with professionals in the investment risk space, particularly those who work with factor models and derivatives. Attend industry events or join relevant online forums to build connections that could lead to valuable insights and potential referrals.
✨Tip Number 4
Prepare to discuss specific examples of how you've contributed to risk analysis or portfolio optimisation in previous roles. Highlighting your quantitative skills and ability to communicate complex concepts clearly will set you apart from other candidates.
We think you need these skills to ace Investment Risk Analyst (&Senior Analyst)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in investment risk, quantitative finance, and risk management. Emphasise your programming skills in Python and SQL, as well as your understanding of derivatives and risk models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the job requirements, particularly your experience with multi-asset portfolios and risk analytics.
Showcase Quantitative Skills: Provide specific examples of how you've applied your quantitative skills in previous roles. Mention any projects where you used Excel, Python, or SQL to analyse risk or enhance risk modelling.
Highlight Communication Abilities: Since the role involves working with various stakeholders, emphasise your communication and interpersonal skills. Share instances where you've successfully collaborated with portfolio managers or presented complex data to senior management.
How to prepare for a job interview at Paritas Recruitment
✨Showcase Your Quantitative Skills
Make sure to highlight your quantitative abilities during the interview. Be prepared to discuss your experience with programming languages like Python and SQL, as well as your proficiency in Excel. You might even be asked to solve a problem on the spot, so brush up on your technical skills beforehand.
✨Understand Risk Models Thoroughly
Since the role requires a strong knowledge of risk models, especially factor models, ensure you can explain these concepts clearly. Prepare examples from your past experiences where you've applied these models in real-world scenarios, demonstrating your understanding and analytical capabilities.
✨Communicate Effectively
Good communication is key in this role, as you'll be interacting with various stakeholders. Practice articulating complex risk concepts in simple terms. Consider preparing a few anecdotes that showcase your ability to convey important information to non-technical audiences.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process under pressure. Think about past situations where you had to analyse risk or performance metrics and be ready to discuss how you approached those challenges and what the outcomes were.
