Quantitative Analyst

About the job

We are seeking a Quantitative Analyst to design and implement cutting-edge algorithms for portfolio optimization, hedging strategies, and income generation through time decay and volatility trading. This role requires a deep understanding of quantitative finance, a passion for data-driven decision-making, and expertise in financial modeling.

Responsibilities

- Develop and optimize algorithms for portfolio management and hedging strategies.

- Design quantitative models that generate consistent income by leveraging time decay and volatility trading.

- Collaborate with data engineers to integrate, process, and analyze financial data streams.

- Continuously backtest, refine, and enhance trading models to improve performance.

Skills, Qualifications, and Experience

- 5+ years of experience in quantitative finance, algorithmic trading, or portfolio management.

- Expertise in Python, along with libraries like NumPy, Pandas, and financial modeling tools.

- Strong understanding of derivatives, options trading, and risk management frameworks.

- Experience with backtesting frameworks, market data analysis, and statistical modeling.

- Familiarity with machine learning and alternative data sources is a plus.

Leadership Principles

- Data-Driven Decision Making Let quantitative insights guide trading strategies and optimizations.

- Relentless Improvement Constantly refine models to balance risk and reward effectively.

- Alignment with Purpose Build financial models that align with Hushhs mission to create sustainable value.

Why Join Us?

- Work at the intersection of finance, data science, and technology.

- Solve complex financial problems with real-world impact.

- Be part of a highly collaborative, data-driven, and innovative team.

If youre passionate about quantitative trading, portfolio optimization, and algorithmic finance, wed love to hear from you!