Multi-Asset Quantitative Portfolio Analyst

Janus Henderson Global Investors; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading investment firm in Greater London is looking for a skilled individual to enhance their quantitative analysis capabilities. The role involves developing analytical tools, supporting portfolio management, and collaborating with various teams to deliver insights. Ideal candidates have strong expertise in Python, SQL, and visualization tools like Power BI or Tableau. The company offers generous benefits and a hybrid working environment.

Benefits

Generous Holiday policies

Excellent Health and Wellbeing benefits

Paid volunteer time

Support for professional development

Maternal/paternal leave benefits

Complimentary subscription to Headspace

Employee events and networking opportunities

Lunch allowance

Qualifications

• Demonstrated expertise in managing data and conducting quantitative analysis.
• Experience in a multi-asset solutions setting is preferred.
• Familiar with regulatory requirements related to investment management.

Responsibilities

• Develop quantitative tools for data analysis to support portfolio construction.
• Maintain records and build visualisations for investment insights.
• Collaborate with performance and risk teams on analytics and reports.
• Ensure smooth execution of trade operations and compliance checks.
• Assist in data management and operational workflows.
• Support client reporting and commentary generation.

Skills

Proven experience in quantitative analysis

Advanced Python and SQL

Proficiency in Power BI and Tableau

Strong written and verbal communication skills

Ability to work both independently and collaboratively

Attention to detail

Analytical mindset

Education

CFA, FRM, CQF, or equivalent professional qualification

Tools

Bloomberg

Style Analytics

Job description

A leading investment firm in Greater London is looking for a skilled individual to enhance their quantitative analysis capabilities. The role involves developing analytical tools, supporting portfolio management, and collaborating with various teams to deliver insights. Ideal candidates have strong expertise in Python, SQL, and visualization tools like Power BI or Tableau. The company offers generous benefits and a hybrid working environment.