Quantitative Researcher
3 days ago
Quantitative Researcher Job Description
What You'll Do:
-Analyse diverse datasets, from market microstructure and macroeconomic indicators to
social media sentiment, satellite imagery, real estate transactions, and behavioural data.
-Develop predictive models and frameworks using tools from statistics, machine learning,
econometrics, and beyond.
-Design, implement, and refine algorithms and strategies across domains like finance, AI
applications, and social behaviour modelling.
-Write production-quality code to integrate research into live systems.
-Collaborate closely with our team in the US, sharing insights, challenging assumptions, and
refining ideas together.
Areas of Research May Include:
-Financial Markets:
Strategy development, pricing models, portfolio optimization, market
impact analysis.
-Alternative Data:
Extracting insights from non-traditional sources—news, satellite imagery,
traffic data, ESG disclosures, social platforms.
-Artificial Intelligence:
Applying ML/AI techniques to trading, prediction, optimization, and
behaviour analysis.
-Social Patterns:
Modelling and forecasting consumer behaviour, network effects, or political
and cultural dynamics using large-scale data.
-Real Estate and Urban Data:
Quantifying development trends, migration patterns, economic
signals, and valuation models using public and proprietary data.
What We're Looking For:
-Strong analytical and mathematical thinking, comfortable working with ambiguity and
complexity.
-Proficiency in coding and data analysis; experience with Python, KDB/Q, or functional
programming is a plus.
-Curiosity to explore questions others may overlook, and a sharp eye for uncovering signal in
noise.
-Excellent communication skills, especially in remote, cross-time-zone collaborations.
-An appetite for interdisciplinary work, and the humility to learn from others across domains.
This is a full-time position based in Chennai, India
, offering the opportunity to work on cutting-edge problems alongside talented peers in the US and globally. If you're driven by curiosity,
precision, and impact, we'd love to hear from you.
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