Portfolio Analytics Front-Office Quant Analyst - Remote

Arcana Analytics; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Arcana Analytics is seeking world-class front-office Financial Analysts to join our mission of delivering institutional-grade portfolio intelligence for hedge funds and asset managers. This role blends finance, technology, and quantitative thinking, collaborating with product, engineering, and data science to build the next generation of institutional finance software.

You have 2+ years in a front-office financial role and a top-tier degree with honors, with strong MS Excel skills.

Qualifications

• Bachelor's or Master's with honors (GPA 8.0+), from IIT/IIM or top global university.
• 2+ years in a front-office financial role (Investment Banking or Investment Due Diligence).
• Strong communication skills (verbal and written).
• Methodical, concise and accurate work style with strong attention to detail and deadlines.
• Aptitude for quantitative risk management, IT and current trends.
• Experience with data analysis, validation and presentation of results in Excel.

Responsibilities

• Presentation and analysis of data using charts, tables and Excel.
• Analyzing financial reports, market and asset performance to derive investor-focused insights.
• Interpreting yield, price, risk, stability and other factors affecting investment merits.
• Deep understanding of quantitative risk modeling to enhance portfolio analytics.
• Conducting unit economics and financial analysis.
• Collaborating with data engineering and data science to source relevant metrics and data.

Skills

Strong communication skills

Excel proficiency

Quantitative thinking

Attention to detail

Education

Bachelor's or Master's degree with honors (8.0+ GPA)

Tools

MS Excel

Job description

Arcana Analytics is seeking world-class front-office Financial Analysts to join our mission of delivering institutional-grade portfolio intelligence for hedge funds and asset managers. This role blends finance, technology, and quantitative thinking, collaborating with product, engineering, and data science to build the next generation of institutional finance software.

You have 2+ years in a front-office financial role and a top-tier degree with honors, with strong MS Excel skills.