A very profitable Quant Equities team embedded in a Tier-One Quant Fund in NYC is looking for an Equity Quantitative Research skilled in utilizing alternative datasets for systematic strategy development. The existing group focuses on mid-frequency horizons (days/weeks) with plans to push into global equity markets next year. The incoming QR will work in a collaborative setting and be have the autonomy to work on end-to-end strategies to further drive performance in the team.
The team lead has spent a decade with the fund resulting in ample resources to support the team needs. The ideal candidate will be successful in leveraging linear and non-linear methodologies and familiar in working with esoteric datasets that provide significant edge when live. The ideal candidate for this role will have:
- 5+ years buyside QR alpha experience
- Experience working on EU/APAC signals is a nice to have but not a must
- Expert statistical and mathematical modeling skills (utilizing ML for signal research is a plus)
- Exposure to portfolio construction and execution methodologies
- Strong Python coding
- Strong communication skills
*Can wait out lengthy non-competes.
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