
Analyst (Investment Banking / Buy-Side Experience Required)
1 day ago
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
- 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 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.
- Minimum GPA of 8.0+ (required), IIT/IIM/ISB preferred.
- CFA, FRM, or MBA is a strong plus
- Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus
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