Quantitative Research Analyst - Fixed Income, Specialist | London, UK

Vanguard Group; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading investment management firm in London is seeking a Quantitative Research Analyst to improve understanding of fixed income assets. The role involves research, analysis, and utilization of programming skills to support investment strategies. Candidates should possess strong experience in data science and programming, particularly in Python and SQL. This position offers a hybrid working model and requires a background in finance or relevant fields.

Benefits

Hybrid working model

Investment in diversity and inclusion initiatives

Qualifications

• Minimum of five years related work experience, including three years related programming work experience.
• Experience in data gathering, wrangling, and analysis.
• Ability to display results using front-end frameworks.

Responsibilities

• Provides thought leadership to improve fixed income fund returns.
• Works on research projects to support investment decision processes.
• Investigates machine learning and alternative data sources.
• Creates and performs analysis for investment strategies.
• Integrates with portfolio management and trading teams.

Skills

Programming skills

Data analysis

Machine learning

Education

Undergraduate degree or equivalent

Graduate degree preferred

Tools

Python

Tableau

VBA

SQL

Job description

Quantitative Research Analyst - Fixed Income, Specialist

Quantitative Research Analyst - Fixed Income, Specialist

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 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.

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.

Core Responsibilities

1. Provides thought leadership and advocacy to identify and implement new initiatives that improve fixed income fund returns and lower their costs.

2. 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.

3. 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.

4. 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.

5. Develops business acumen to bring an informed perspective to investment management teams.

6. 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.

7. 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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