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- Tasks: Join our team to build innovative quantitative models for wealth management.
- Company: Be part of a leading asset and wealth management firm focused on ultra-high-net-worth clients.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
- Why this job: Make a real impact by solving complex problems and optimising financial strategies.
- Qualifications: Bachelor's, Master's or Ph.D. in a quantitative field; 1-3 years of relevant experience required.
- Other info: Ideal for creative problem solvers who thrive in fast-paced, collaborative settings.
The predicted salary is between 43200 - 72000 £ per year.
Asset & Wealth Management - Associate Quantitative Strategist in Wealth Management Strats
Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
Responsibilities
- As a strategist on our Private Bank team, you will work closely with our global deposits and lending business serving ultra-high-net-worth clients.
- You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability.
- Product pricing: Streamline and improve how lenders set rates across its portfolio of products, using financial return-on-equity models.
- Funding optimization: Design quantitative models to help understand and realize the value of the bank’s non-maturity deposits business for internal funding.
- Risk Management: Develop quantitative models and tools to manage the private bank’s risk, such as developing a rate-sensitive prepayment model to improve hedging of the bank’s mortgage portfolio and develop tools for counterparty credit risk management.
- Scenario analysis: Build models to project the impact of various stress scenarios on the balance sheet and protect the bank by informing the firm’s capital adequacy under stress.
Basic Qualifications
- Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering.
- 1-3 years of experience in the job offered or related quantitative financial modeling and software development positions.
- Programming and mathematical skills are required.
- Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences.
- A self-starter, should have ability to work independently as well as thrive in a team environment.
Preferred qualifications:
- Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL.
- Previous work experience in: Developing bank loan and deposit pricing models and tools/models for risk management.
Wealth Management-London-Associate-Quantitative Engineering employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Wealth Management-London-Associate-Quantitative Engineering
✨Tip Number 1
Familiarise yourself with the latest quantitative modelling techniques and tools relevant to wealth management. Being able to discuss recent advancements or case studies in your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals already working in wealth management or quantitative roles. Attend industry events or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Brush up on your programming skills, especially in object-oriented languages and SQL. Being able to showcase your coding abilities during technical discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've applied your problem-solving skills in real-world scenarios. Think of specific examples where you've used quantitative methods to tackle complex issues, as this will highlight your practical experience and creativity.
We think you need these skills to ace Wealth Management-London-Associate-Quantitative Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative finance, programming, and mathematical skills. Emphasise any projects or roles where you've developed models or tools similar to those mentioned in the job description.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative strategies and how your background aligns with the responsibilities of the role. Mention specific experiences that demonstrate your problem-solving abilities and creativity in a fast-paced environment.
Showcase Relevant Skills: Clearly outline your programming skills, particularly in object-oriented languages, and your experience with statistical methods. Provide examples of how you've used these skills in previous roles to solve complex problems or improve processes.
Prepare for Technical Questions: Anticipate technical questions related to quantitative modelling and risk management during the interview process. Brush up on your knowledge of financial concepts and be ready to discuss how you've applied your skills in real-world scenarios.
How to prepare for a job interview at WeAreTechWomen
✨Showcase Your Technical Skills
Make sure to highlight your programming and mathematical skills during the interview. Be prepared to discuss specific projects where you've applied quantitative techniques, and consider bringing examples of your work or models you've developed.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss how you've tackled complex problems in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on your creativity and analytical thinking in developing solutions.
✨Communicate Clearly
Since you'll need to explain complex ideas to various audiences, practice articulating your thoughts clearly and concisely. Consider doing mock interviews with friends or mentors to refine your communication style.
✨Research the Company and Role
Familiarise yourself with the company's values, recent news, and the specifics of the Wealth Management role. Understanding their approach to risk management and client service will help you tailor your responses and show genuine interest.
