At a Glance
- Tasks: Analyze fixed income assets and support quantitative research initiatives.
- Company: Join Vanguard, a leader in investment management focused on fairness and success for all investors.
- Benefits: Enjoy a hybrid working model with flexibility and opportunities for collaboration.
- Why this job: Make an impact on investment strategies while working with innovative technologies like AI and machine learning.
- Qualifications: Five years of experience, strong programming skills in Python/Tableau/VBA/SQL preferred.
- Other info: Vanguard values diversity and inclusion, empowering unique strengths within its crew.
The predicted salary is between 43200 - 72000 £ per year.
Quantitative Research Analyst – Fixed Income, Specialist
Provides research and analysis to improve the understanding of the expected risk and return of fixed income assets under management, and supports quantitative research initiatives.
Do you have programming skills and a deep interest in global fixed income markets? Come join Vanguard’s Fixed Income team as a Quant Analyst. We are looking for an independently minded individual to partner with the investment team building tools and impacting the investment process from a quantitative perspective.
The role would suit someone with strong experience in data science with some full-stack development. Data gathering, wrangling, analysis, and financial markets discussions will encompass the main tasks of this role. Ability to display results using some front-end framework (i.e. Angular or HTML5) would be desirable.
Core Responsibilities
- Provides thought leadership and advocacy to identify and implement new initiatives that improve fixed income fund returns and lower their costs.
- Works independently on research projects under the guidance of senior specialists, to support the fixed income investment decision processes, utilizing specialized quantitative skills. Generates value-add insights and provides data-driven solutions to enhance fixed income investment outcomes.
- Investigates machine learning, neural networks/other AI techniques and alternative data sources to introduce innovative techniques and methods in support of fixed income investment decision-making.
- Independently creates and performs analysis to support fixed income investment strategies and transaction costs, creates new quantitative measures, and contributes to new investment strategies. Enhances existing models, develops data sources and processes, and communicates results.
- Develops business acumen to bring an informed perspective to investment management teams.
- Uses communication and interpersonal skills to integrate with the portfolio management and trading teams, adding a quantitative perspective to their day-to-day interactions with and interpretations of market developments. Tailors communication of complex concepts to the audience.
- Participates in special projects and performs other duties as assigned.
Qualifications
- Minimum of five years related work experience, including three years related programming work experience.
- Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
- Python/Tableau/VBA/SQL programming skills preferred.
Special Factors
- Hybrid working model.
- Vanguard is not offering sponsorship for this position.
About Vanguard
At Vanguard, our core purpose is to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. Every decision we make to best serve our clients, crew, and communities is guided by one simple statement: “Do the right thing.” We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew (that’s what we call our staff) to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.
Inclusion Statement
Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.” We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.
When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard’s core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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Quantitative Research Analyst - Fixed Income, Specialist | London, UK employer: Vanguard Group
Contact Detail:
Vanguard Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Analyst - Fixed Income, Specialist | London, UK
✨Tip Number 1
Familiarize yourself with the latest trends in fixed income markets. Understanding current market dynamics and how they affect risk and return will help you engage in meaningful discussions during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in Python, SQL, and data visualization tools like Tableau. Being able to demonstrate your technical expertise will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with machine learning and AI techniques. Highlight any projects where you've applied these methods to solve real-world problems in finance, as this aligns closely with the role's requirements.
✨Tip Number 4
Showcase your ability to communicate complex quantitative concepts clearly. Practice explaining your past projects to a non-technical audience, as effective communication is key in collaborating with investment teams.
We think you need these skills to ace Quantitative Research Analyst - Fixed Income, Specialist | London, UK
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Quantitative Research Analyst position. Understand the key responsibilities and qualifications required, especially the emphasis on programming skills and experience in fixed income markets.
Highlight Relevant Experience: In your CV and cover letter, focus on your relevant work experience, particularly any roles that involved programming, data analysis, or financial markets. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Technical Skills: Make sure to clearly list your programming skills, such as Python, SQL, or Tableau, in your application. Provide examples of projects where you utilized these skills, especially in a quantitative research context.
Tailor Your Communication: When writing your cover letter, tailor your communication style to reflect Vanguard's values of diversity, inclusion, and doing the right thing. Emphasize your ability to communicate complex concepts effectively, as this is crucial for the role.
How to prepare for a job interview at Vanguard Group
✨Showcase Your Programming Skills
Make sure to highlight your programming experience, especially with Python, SQL, and any other relevant languages. Be prepared to discuss specific projects where you utilized these skills to solve complex problems.
✨Demonstrate Your Understanding of Fixed Income Markets
Familiarize yourself with current trends and challenges in the fixed income market. Be ready to discuss how your insights can contribute to improving fund returns and lowering costs.
✨Prepare for Technical Questions
Expect technical questions related to quantitative analysis and data science. Brush up on machine learning techniques and be ready to explain how you would apply them to fixed income investment strategies.
✨Communicate Complex Concepts Clearly
Practice explaining complex quantitative concepts in simple terms. This will demonstrate your ability to tailor communication to different audiences, which is crucial for integrating with portfolio management and trading teams.