Remote Risk & Portfolio Analytics Analyst

Arcana; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Arcana is seeking an analyst to join its portfolio intelligence platform, working alongside product, engineering, and data science to shape financial software used by hedge funds and asset managers.

You will analyze performance, risk, and attribution across portfolios, communicating insights to clients and internal teams. The role requires 2–4 years in a front-office role, strong modeling and Excel skills, and a passion for financial markets.

Qualifications

• 2–4 years of front-office financial experience
• Strong Excel skills and financial modeling abilities
• Understanding of portfolio theory, risk attribution, yield, drawdown, correlation, and volatility
• Effective communication with institutional clients and internal stakeholders
• Interest in financial markets and institutional workflows
• Ability to work independently in a fast-paced remote environment
• Familiarity with investment processes and data tools

Responsibilities

• Collaborate with product, engineering, and data science teams to build portfolio intelligence tools and analytics components
• Analyze portfolio- and security-level performance, risk, and attribution
• Decompose returns to identify drivers of alpha, beta, and idiosyncratic outcomes
• Conduct market, macro research to support client workflows and product insights
• Validate, interpret, and communicate financial metrics to internal stakeholders and clients

Skills

Analytical skills

Excel proficiency

Financial modeling

Client communication

Independent

Remote work readiness

Education

Bachelor’s or Master’s in Finance/Econ/Engineering

GPA 3.7+

CFA/FRM/MBA a plus

Tools

Bloomberg

FactSet

Python

R

Job description

Arcana is seeking an analyst to join its portfolio intelligence platform, working alongside product, engineering, and data science to shape financial software used by hedge funds and asset managers.

You will analyze performance, risk, and attribution across portfolios, communicating insights to clients and internal teams. The role requires 2–4 years in a front-office role, strong modeling and Excel skills, and a passion for financial markets.