Analyst – HYBRID

Job Overview

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 componentsAnalyze portfolio- and security-level performance, risk, and attributionDecompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomesConduct market, macroeconomic, and security-level research to support client workflows and product insightsValidate, interpret, and clearly communicate financial metrics to both internal stakeholders and clients

Requirements

1–3 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 datasetsDeep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatilityExcellent at communicating with institutional clients—including portfolio managers, analysts, CIOs, and risk managers—with the ability to distill complex analysis into clear, actionable insightsDemonstrated deep interest in financial markets, investment strategies, and institutional workflowsSelf-starter with the ability to work independently in a fast-paced, remote environmentFamiliarity 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 fieldMinimum GPA of 3.7 (required)CFA, FRM, or MBA is a strong plusExperience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus