William O'Neil - Head - Quantitative Research

We are seeking an experienced and visionary leader to head our Quantitative Research and Trading team. This is a strategic leadership role that combines hands-on quantitative research with team building, fund positioning, and collaboration with internal and external stakeholders.

As the Head of Quant, you will spearhead the development and execution of systematic trading strategies across Indian and global markets. You will manage a high-performing team of quantitative analysts, data scientists, and developers, while collaborating closely with the investment management team to align research outputs with business objectives and fund goals.

Key Responsibilities:

Strategy Development:

- Design, develop, and backtest profitable algorithmic trading strategies using financial time series and alternative data.

- Use machine learning and statistical techniques to extract insights from structured and unstructured data.

- Stay abreast of global research trends in quantitative finance and incorporate cutting-edge methodologies.

Team Leadership & Mentoring:

- Build, lead, and mentor a growing team of quant researchers and analysts.

- Foster a culture of innovation, accountability, and continuous learning.

- Set priorities, review progress, and ensure high-quality output from the team.

Collaboration & Productionization:

- Work closely with the investment management team to translate research ideas into actionable investment strategies.

- Collaborate with software developers to ensure strategies are robustly implemented and production-ready.

Research & Performance Monitoring:

- Conduct performance attribution and diagnostics on live portfolios.

- Continuously refine models based on live performance data and evolving market conditions.

- Develop and enhance proprietary analytical tools and research infrastructure.

Fund Marketing & Investor Engagement:

- Partner with the leadership team and investor relations to communicate quant strategies and portfolio performance to existing and prospective investors.

- Represent the quant strategy at investor meetings, due diligence sessions, and marketing presentations.

- Contribute to whitepapers, research notes, and other thought-leadership content that positions the fund's quant capability credibly in the market.

Required Skills and Experience:

- Minimum 10+ years of experience in quantitative research/trading, preferably in capital markets or hedge funds.

- Proven track record of developing profitable trading strategies and managing teams.

- Post-graduate degree (Master's or PhD preferred) in a quantitative field such as Finance, Statistics, Mathematics, Engineering, or Computer Science.

- Advanced programming skills in Python, R, or other analytical languages.

- Familiarity with large datasets, financial data APIs, and time-series analysis.

- Strong leadership, project management, and interpersonal skills.

- Exposure to Indian and global markets is a strong advantage.

- Experience in investor communication or fund marketing is a plus.