Quantitative Research Analyst - Fixed Income
The Quantitative Research Analyst role provides research and analytical support to the Active Credit Team within Vanguard’s Fixed Income Group, helping the team to drive alpha generation through the incorporation of quantitative research and strategies.
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 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.
We are Vanguard. Together, we’re changing the way the world invests.
For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.
We want to make success accessible to everyone. This is our opportunity. Let’s make it count.
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.
Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.
Future of Work
During the pandemic, we transitioned to a work from home model for the majority of our crew and we continue to interview, hire, and on-board future crew remotely.
As we have developed the path forward, we have taken a thoughtful approach that both maximizes the advantages of working remotely and the many benefits of coming together and collaborating in a shared workspace. We believe that in-person interactions among our crew are important for preserving our unique culture and advantageous for the personal development of our crew.
When our Crew return to the office, many will work in our hybrid model. A smaller proportion of our crew will operate in the Work from Home work model (for example, field sales crew); or in the Work from Office model (for example, portfolio managers).
The working model that your role falls into will be communicated to you in the interview process – please do ask if you are unsure. We encourage you to make the decision regarding your job interview and offer knowing which model your role will fall into. We will test and learn as our ways of working evolve and will continue to evaluate working models along the way.