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Financial Intelligence Solutions Developer
2 weeks ago
At Arcana, we are rethinking the tools institutional investors rely on. Our team is dedicated to creating innovative portfolio intelligence solutions.
This role involves working closely with our product, engineering, and data science teams to build robust financial software. We are looking for analysts who want to drive transformation in the investment industry.
We are seeking an Analyst to join our team. The successful candidate will have experience in a front-office financial role and exceptional analytical skills.
Key Responsibilities:
- Collaborate with cross-functional teams to develop 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 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 communication skills, 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 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
