Quantitative Researcher - Derivatives Vertical - Financial Services

Job Description:

The candidate would join the quantitative strategies team within the derivatives vertical, and be responsible for:

1. Developing high quality predictive investment signals (for equities), in the low to mid frequency space by researching large datasets and identifying statistical patterns.

2. Evaluating the trading signals from a risk-adjusted return perspective at individual strategy level, while being relatively uncorrelated with overall quant-book. Signals should ideally be diversified across momentum/trend following, mean reversion, fundamental factors and statistical pairs.

3. Executing trades efficiently through a central execution platform. Monitoring ongoing model and portfolio performance and making modifications to adapt to changing market conditions.

4. Collaborating with research and risk team members to keep abreast with the changing trading landscape.

Qualifications:

1. 3-4 years of experience in quantitative research, with at least 1 year of experience in developing quantitative equity alpha signals in a buy-side role (prop shops, asset management companies).

2. Strong coding skills in a leading research-oriented programming language (Python/R/Matlab)

3. Knowledge of machine learning techniques (regularization, boosting, cross-validation) will be a plus.

4. Experience of interacting with large datasets across multiple time frames will be useful.

5. Strong articulation, creativity, ability to meet tight deadlines, and to take data-driven decisions would be key to success in the role.