
Chief Quantitative Model Developer
23 hours ago
Our organization is developing an AI-powered platform for wealth management tailored to modern individuals.
The system's investment capabilities are fueled by advanced AI and high-grade quantitative research. We prioritize diversified risk management that complements a holistic financial profile. Clients experience personalized investment management with unparalleled transparency and convenience.
We are seeking versatile engineers to lead the R&D cycle of our investment systems, combining financial acumen, modeling expertise, and engineering execution:
- Develop sophisticated models for low-frequency predictions of returns and risks, primarily focusing on Indian equities but including other asset classes.
- Design hyper-personalized portfolio optimizers compatible with various benchmarks, constraints, and financial goals-based objectives.
- Pursue continuous improvement of alpha generation and capacity expansion.
- Collaborate with cross-functional teams to align research output with business objectives.
Required Qualifications:
- Experience: 5+ years in low-frequency quant research and/or engineering.
- Education: Strong academic background from reputable institutions in financial engineering/mathematics/computer science or related quantitative disciplines.
- Previous Roles: Quant investing funds or fast-paced startups.
- Mindset: AI-native productivity, end-to-end ownership, and bias toward delivery.
Benefits:
Join a dynamic team working at the intersection of finance and technology.
Contribute to the development of cutting-edge solutions for wealth management.
Opportunity for growth and professional development.
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