William O'Neil - Head - Quantitative Research & Trading

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- (With 10+ yrs and salary 30+ LPA. Also the mandates to have experience of Algo trading, quant research and python analysis but not decoding)

- 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.

- 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.

- 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:

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

- Develop and enhance proprietary analytical tools and research infrastructure.

- 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.