Portfolio Analytics Specialist

Arcana; Hong Kong; Remote; HKD 550,000 - 850,000; Full time

Job summary

Arcana seeks an analyst to work with product, engineering, and data science teams to build portfolio intelligence tools and perform in-depth performance and risk analysis. You will decompose returns, research macro markets, and communicate insights to clients and stakeholders.

Ideal candidates have 2–4+ years in front-office finance, strong Excel/modeling skills, and a passion for institutional workflows. Remote work enables flexible collaboration with a global hedge fund and asset-management

Qualifications

• 2–4+ years in a front-office financial role (investment banking, hedge fund, asset management, or similar).
• Exceptional analytical and Excel skills with strong financial modeling.
• Deep understanding of portfolio theory, risk attribution, yield, drawdown, correlation, and volatility.
• Excellent at communicating with institutional clients and distilling insights.
• Demonstrated interest in financial markets and institutional workflows.
• Self-starter able to work independently in a fast-paced, remote environment.
• Familiarity with investment processes, research platforms, and data tools.

Responsibilities

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

Skills

Excel

Financial modeling

Portfolio theory

Risk attribution

Market analysis

Data interpretation

Communication with clients

Self-starter

Education

Bachelor's or Master’s in Finance/Economics/Engineering

CFA/FRM/MBA

Tools

Bloomberg

FactSet

Python

R

Job description

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on—and we’re hiring analysts who want to drive that transformation.

This isn’t a typical modeling-and-memos analyst role. Our analysts work directly with product, engineering, and data science to shape institutional-grade financial software. If you’re an analyst looking for more impact, more ownership, and the chance to help shape real tools for investors—we’d love to talk.

Responsibilities

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

Requirements

• 2–4+ years of experience in a front-office financial role (investment banking, hedge fund, asset management, or similar)
• Exceptional analytical and Excel skills, with strong proficiency in financial modeling and interpreting large datasets
• Deep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatility
• Excellent at communicating with institutional clients—including portfolio managers, analysts, CIOs, and risk managers—with the ability to distill complex analysis into clear, actionable insights
• Demonstrated deep interest in financial markets, investment strategies, and institutional workflows
• Self-starter with the ability to work independently in a fast-paced, remote environment
• Familiarity with institutional investment processes, research platforms, and financial data tools

Qualifications

• Bachelor’s or Master’s degree from a top-ranked university in Finance, Economics, Engineering, or a related field
• CFA, FRM, or MBA is a strong plus
• Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus