
Quantitative Researcher- Cross-Asset Relative Value
at McGregor Boyall
Posted a day ago
No clicks
- Compensation
- Up to £250,000 GBP
- City
- New York City, London
- Country
- United States, United Kingdom
Currency: £ (GBP)
Desk-facing quantitative researcher supporting complex multi-asset, credit-biased strategies. Translate market intuition and trade ideas into robust, scalable Python-based research frameworks, build reusable libraries, explore new datasets and stress-test signals to improve trade selection and portfolio construction.
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- About Us
- Job Search
- Services
- Sectors
- Specialisms
- Specialisms
- Specialisms
- Business Support & Secretarial
- Change & Transformation
- Compliance, Governance & Legal
- Cloud, DevOps & Infrastructure
- Data & Analytics
- Development & Testing
- Digital Marketing, Communications & Sales
- Finance, Audit & Accounting
- HR & Talent Management
- Information & Cyber Security
- Project & Programme Management
- Risk Management & Quantitative Analyitcs
- Procurement & Supply Chain
- Insights
- Work For Us
- Contact Us
Job Details
Quantitative Researcher- Cross-Asset Relative Value
- Up to £250000 per annum
- City of London, London
- Permanent
Quantitative Researcher- Cross-Asset Relative Value
Location: New York or London
Industry: Hedge Funds
Travel: Hybrid
Overview:
A well-established buy-side investment platform is looking to add a Quantitative Researcher to a desk-facing environment supporting complex, multi-asset strategies with a strong credit bias.
The role is intentionally flexible on level and suited to someone who enjoys working close to investment decision-making - translating market intuition and trade ideas into robust, scalable quantitative frameworks. The emphasis is on practical research, not academic isolation.
Responsibilities:
- Act as a quantitative partner to senior investment professionals, helping turn ideas into actionable analytics
- Enhance and evolve internal research frameworks used to analyse relative value, risk, and pricing across complex instruments
- Build reusable research components and libraries that support both discretionary and systematic approaches
- Explore new datasets, methodologies, and signals to improve trade selection and portfolio construction
- Stress-test ideas through structured analysis rather than one-off experiments
- Improve the reliability, speed, and usability of existing research workflows
- Contribute to longer-term projects focused on scaling quantitative insight across strategies
- Share findings clearly, whether through code, written summaries, or discussion with stakeholders
Experience:
- Strong programming capability in Python; additional low-level or performance-focused experience welcomed
- Background in a quantitative research, trading, or analytics role within a professional investment environment
- Advanced academic training in a numerate discipline
- Familiarity with fixed income or credit-style instruments helpful, but depth in one area valued over broad exposure
- Comfortable working with ambiguity and evolving priorities
Compensation:
Highly competitive base salary with performance-linked bonus and comprehensive benefits.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Apply for this role
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Quantitative Researcher- Cross-Asset Relative Value
at McGregor Boyall

Quantitative Researcher- Cross-Asset Relative Value
at McGregor Boyall
Posted a day ago
No clicks
- Compensation
- Up to £250,000 GBP
- City
- New York City, London
- Country
- United States, United Kingdom
Currency: £ (GBP)
Desk-facing quantitative researcher supporting complex multi-asset, credit-biased strategies. Translate market intuition and trade ideas into robust, scalable Python-based research frameworks, build reusable libraries, explore new datasets and stress-test signals to improve trade selection and portfolio construction.
- About Us
- Job Search
- Services
- Sectors
- Specialisms
- Business Support & Secretarial
- Change & Transformation
- Compliance, Governance & Legal
- Cloud, DevOps & Infrastructure
- Data & Analytics
- Development & Testing
- Digital Marketing, Communications & Sales
- Finance, Audit & Accounting
- HR & Talent Management
- Information & Cyber Security
- Project & Programme Management
- Risk Management & Quantitative Analyitcs
- Procurement & Supply Chain
- Insights
- Work For Us
- Contact Us
Quick CV Dropoff
By submitting this form, you agree to our Modern Slavery, Cookies & Privacy Policy.
Upload a Vacancy Today
By submitting this form, you agree to our Modern Slavery, Cookies & Privacy Policy.
- About Us
- Job Search
- Services
- Sectors
- Specialisms
- Specialisms
- Specialisms
- Business Support & Secretarial
- Change & Transformation
- Compliance, Governance & Legal
- Cloud, DevOps & Infrastructure
- Data & Analytics
- Development & Testing
- Digital Marketing, Communications & Sales
- Finance, Audit & Accounting
- HR & Talent Management
- Information & Cyber Security
- Project & Programme Management
- Risk Management & Quantitative Analyitcs
- Procurement & Supply Chain
- Insights
- Work For Us
- Contact Us
Job Details
Quantitative Researcher- Cross-Asset Relative Value
- Up to £250000 per annum
- City of London, London
- Permanent
Quantitative Researcher- Cross-Asset Relative Value
Location: New York or London
Industry: Hedge Funds
Travel: Hybrid
Overview:
A well-established buy-side investment platform is looking to add a Quantitative Researcher to a desk-facing environment supporting complex, multi-asset strategies with a strong credit bias.
The role is intentionally flexible on level and suited to someone who enjoys working close to investment decision-making - translating market intuition and trade ideas into robust, scalable quantitative frameworks. The emphasis is on practical research, not academic isolation.
Responsibilities:
- Act as a quantitative partner to senior investment professionals, helping turn ideas into actionable analytics
- Enhance and evolve internal research frameworks used to analyse relative value, risk, and pricing across complex instruments
- Build reusable research components and libraries that support both discretionary and systematic approaches
- Explore new datasets, methodologies, and signals to improve trade selection and portfolio construction
- Stress-test ideas through structured analysis rather than one-off experiments
- Improve the reliability, speed, and usability of existing research workflows
- Contribute to longer-term projects focused on scaling quantitative insight across strategies
- Share findings clearly, whether through code, written summaries, or discussion with stakeholders
Experience:
- Strong programming capability in Python; additional low-level or performance-focused experience welcomed
- Background in a quantitative research, trading, or analytics role within a professional investment environment
- Advanced academic training in a numerate discipline
- Familiarity with fixed income or credit-style instruments helpful, but depth in one area valued over broad exposure
- Comfortable working with ambiguity and evolving priorities
Compensation:
Highly competitive base salary with performance-linked bonus and comprehensive benefits.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Apply for this role
Great! It looks like you have already applied for this role. View Status
Not yet registered? Create an account today
Already have an account? Sign in now
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