At a Glance
- Tasks: Develop quantitative tools and back-test investment strategies to influence billions in fixed-income assets.
- Company: Join Vanguard, a leader in asset management with a commitment to diversity and inclusion.
- Benefits: Enjoy a hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those with a passion for quantitative finance and a desire to learn.
- Why this job: Make a real impact on investment outcomes while collaborating with senior quants and portfolio managers.
- Qualifications: Master’s or Ph.D. in STEM; strong coding skills and understanding of fixed-income products required.
The predicted salary is between 60000 - 80000 £ per year.
You will work alongside senior quants and portfolio managers to develop quantitative tools, back‑test investment strategies, and generate insights that directly influence the management of billions in fixed‑income assets. The ideal candidate brings solid math/stats training, strong coding skills, foundational knowledge of bond markets, and intellectual curiosity to connect quantitative research to real investment outcomes.
Core Responsibilities
- Build and maintain quantitative portfolio construction, risk management, and signal research tools that support the fixed‑income investment process.
- Design, implement, and run back‑tests and scenario analyses for trading and allocation strategies; critically evaluate results with an investor’s lens.
- Develop and enhance valuation, relative‑value, and risk models for fixed‑income instruments (government bonds, credit, derivatives, structured products).
- Conduct research on systematic signals—from macro factors to cross‑sectional drivers—and communicate findings clearly to portfolio managers and traders.
- Gather, clean, and analyze large datasets (market data, fundamentals, flows, positioning) to surface actionable investment insights.
- Integrate with portfolio management and trading teams, contributing a quantitative perspective to daily market discussions and investment decisions.
- Participate in special projects and perform other duties as assigned.
Qualifications
- Master’s or Ph.D. in a STEM discipline (Mathematics, Statistics, Physics, Financial Engineering, Economics, or related field). Strong candidates with a Bachelor’s degree and demonstrated quantitative depth will also be considered.
- Solid foundation in probability, statistics, time series analysis, and optimization.
- Familiarity with econometrics or machine learning methods is a plus.
- Understanding of fixed‑income products and bond math (duration, convexity, yield‑curve dynamics, spread analysis).
- CFA candidates or coursework in fixed income are preferred.
- Investor mindset: able to form views on markets, question model outputs, and connect quantitative results to portfolio implications.
- Proficiency in Python. Exposure to SQL and version control (Git) is helpful.
- Prior experience with Bloomberg or other market‑data platforms is a plus.
- 3+ years of relevant experience (internships, research assistantships, or early‑career roles in quantitative finance, asset management, or related fields).
- Strong written and verbal communication skills; ability to distill complex quantitative concepts for a non‑technical investment audience.
Special Factors
- Hybrid working model.
Inclusion Statement
Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture, and we strive to build diverse, inclusive, and highly effective teams of individuals who are as unique as the clients we serve.
Quantitative Research Analyst - Fixed Income, Specialist employer: hackajob
Vanguard is an exceptional employer for a Quantitative Research Analyst, offering a dynamic work environment where you will collaborate with seasoned professionals to shape investment strategies that manage billions in fixed-income assets. With a strong emphasis on employee growth, a hybrid working model, and a commitment to diversity and inclusion, Vanguard fosters a culture of innovation and intellectual curiosity, making it an ideal place for those seeking meaningful and rewarding careers in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Research Analyst - Fixed Income, Specialist
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your coding skills and quantitative prowess—show them! Create a portfolio of projects or analyses you’ve done, especially those related to fixed income. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by brushing up on your technical knowledge and being ready to discuss your thought process. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with non-technical team members.
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that role! We love seeing candidates who are proactive and genuinely interested in joining our team.
We think you need these skills to ace Quantitative Research Analyst - Fixed Income, Specialist
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your solid math and coding skills in your application. We want to see how your background connects with the quantitative tools and strategies we use at StudySmarter.
Tailor Your Application:Don’t just send a generic CV and cover letter! Tailor your application to reflect your understanding of fixed-income markets and how your experience aligns with our needs. This shows us you’re genuinely interested.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate strong written communication skills, so make sure you can distill complex concepts into something easy to understand.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at hackajob
✨Brush Up on Your Quant Skills
Make sure you’re comfortable discussing key concepts in probability, statistics, and fixed-income products. Be ready to explain how these concepts apply to real-world investment scenarios, as this will show your understanding of the role.
✨Show Off Your Coding Prowess
Since strong coding skills are a must, be prepared to discuss your experience with Python and any other relevant tools. You might even want to bring examples of past projects or analyses you've done to demonstrate your capabilities.
✨Prepare for Technical Questions
Expect questions that test your analytical thinking and problem-solving skills. Practice explaining your thought process clearly, especially when it comes to back-testing strategies or evaluating model outputs, as this will highlight your investor mindset.
✨Communicate Clearly and Confidently
You’ll need to distil complex quantitative concepts for a non-technical audience, so practice explaining your findings in simple terms. This will not only showcase your communication skills but also your ability to connect research to investment outcomes.
