Quantitative Analyst

Braunford LLP; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading quantitative research firm in London is seeking a Quant Analyst to enhance performance analysis and improve trading efficiencies. The ideal candidate should have strong quantitative data analysis experience, excellent Python programming skills, and the ability to communicate effectively with diverse stakeholders. This role offers highly competitive compensation and numerous employee benefits, including healthcare and generous annual leave.

Benefits

Highly competitive compensation

Annual discretionary bonus

Lunch provided

35 days’ annual leave

9% company pension contributions

Comprehensive healthcare and life assurance

Monthly company events

Qualifications

• Demonstrable experience in quantitative or data analysis role with a strong performance track record.
• Experience with large datasets and aggregation.
• Good programming skills in Python.

Responsibilities

• Deliver thorough and accurate research on focus areas across all assets.
• Lead analysis into portfolio behaviors and draw statistically significant conclusions.
• Perform rapid analysis during crisis for portfolio management decisions.

Skills

Quantitative analysis

Data analysis

Python programming

Statistical analysis

Effective communication

Job description

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips?

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

This role is based in our new Soho Place office – opened in 2023 - in the heart of Central London and home to our Research Lab.

The role

The Post-Trade Analysis group works closely with senior stakeholders across the firm - from Research to Portfolio Management - to deliver value through the identification and analysis of performance and inefficiencies in portfolio behaviours and trading patterns.

As a Quant Analyst within the group, you will partner with our embedded engineering team to develop tooling methods that allow for more advanced analysis. You will also work closely with the engineers to productionise ad-hoc analysis and research into published reports for ongoing monitoring and dissemination across the firm.

Key responsibilities of the role include:

• Working with stakeholders to deliver thorough and accurate research on focus areas across all assets
• Initiating and leading rigorous analysis into portfolio behaviours and deployed research to draw statistically significant conclusions about efficiency
• Performing analysis at pace during times of crisis to help inform portfolio management decisions
• Researching and implementing new methodologies to improve the capability of the group on an ongoing basis
• Engaging in an environment of open debate to critically assess the team's research and analysis
• Thinking commercially – little is out of scope

Who are we looking for?

The ideal candidate will have:

• Demonstrable experience in a quantitative or data analysis role with an excellent performance track record over a number of years
• Experience dealing with very large datasets where aggregation is key
• Good programming skills, preferably in Python
• A relentless focus on continuous learning and making an impact
• The ability to question the status quo and drive improvement and changes
• Precision, rigour and an excellent eye for detail
• Strong prioritisation skills, distinguishing between urgent, important and essential tasks, with a commercial mindset focused on delivering value
• Strong written and verbal communication skills; the ability to summarise conclusions to a variety of stakeholders from varying backgrounds and seniority – across teams including Research, Risk, Portfolio Management - is essential.
• The ability to summarise complex problems with efficient visualisations
• A demonstrable interest in financial markets

Why should you apply?

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 35 days’ annual leave
• 9% company pension contributions
• Informal dress code and excellent work/life balance
• Comprehensive healthcare and life assurance
• Monthly company events

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section

At G-Research, we are passionate about the intersection of finance, technology, and the future.

We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.

We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.