Website:
aurxel.com
Job details:
Company Description
AURXEL is transforming wealth management in India by leveraging cutting-edge AI technology to provide personalized, 24/7 financial solutions. Our platform builds tailored portfolios across stocks, ETFs, and mutual funds while offering features like tax optimization, behavioral safeguards, and lifecycle syncing. Designed for busy individuals, AURXEL ensures you can focus on your life while your portfolio works tirelessly in the background. Join us in redefining the future of investing and be part of a company that is revolutionizing the financial industry.
Role Description
This is a full-time, remote role for a Quantitative Researcher who will also take on the responsibilities of a Co-Founder. This is not a traditional quant role focused purely on alpha generation. And it's not a traditional wealth management consultant role focused on client meetings.
This is a hybrid.
You'll sit at the intersection of quantitative finance and applied wealth management — building models that are mathematically sound, regulatorily compliant (SEBI), and practically useful for Indian investors.
You'll work directly with our AI/ML engineer to translate financial theory into code, leveraging statistical and mathematical models, applying quantitative investing techniques, and analyzing market data to build innovative financial strategies, validate our models, and ensure every algorithm we build is grounded in real-world portfolio management principles. You will collaborate closely with the founding team to shape the company’s vision, growth, and market impact.
Responsibilities
Quantitative Research & Model Development
- Design and validate risk profiling algorithms that translate investor inputs into actionable risk scores and asset allocations.
- Develop and backtest portfolio construction models (from strategic asset allocation to advanced optimization techniques).
- Build simulation engines for goal-based financial planning (retirement, education, etc.) with probabilistic outcomes.
- Architect tax-efficient investing logic tailored to Indian tax regulations (LTCG/STCG).
- Research and implement factor-based models for fund and stock selection.
Wealth Management & Regulatory Guidance
- Ensure all models comply with SEBI RIA guidelines for automated advisory platforms.
- Advise on Indian market nuances: retirement products (EPF/NPS), tax codes, suitable asset classes, and investor protection norms.
- Validate backtesting methodologies to ensure robustness and eliminate biases.
- Collaborate on fund scoring logic incorporating expense ratios, historical performance, and risk metrics.
Collaboration & Strategy
- Work closely with our AI/ML engineer to translate models into production-ready Python code.
- Participate in weekly sprint planning, code reviews, and model validation sessions.
- Contribute to the long-term quant roadmap and product strategy.
Qualifications
- 2+ years of experience in quantitative finance, asset management, wealth management, or related fields.
- Strong understanding of portfolio theory (MPT, efficient frontier, CAPM, Black-Litterman).
- Familiarity with risk metrics (Sharpe, Sortino, drawdowns, VaR) and performance attribution.
- Experience working with financial data (prices, fundamentals, factor returns) and backtesting frameworks.
- Programming skills in Python (pandas, NumPy, scikit-learn) — enough to review and guide implementation.
- Knowledge of Indian financial markets and regulatory environment (SEBI, RBI, tax rules) — or strong willingness to learn rapidly.
- Excellent communication skills — ability to explain complex concepts to engineers and non-experts.
Why AURXEL
This isn't a job — it's a partnership. You'll join as a core member of a lean, ambitious team building India's first truly intelligent wealth manager, with meaningful equity ownership and the chance to architect the brain of a platform that could serve millions. You'll work directly with the founders, shape the product from day one, and learn what it really takes to build a fintech — without corporate politics or 9-to-5 constraints. Fully remote, flexible hours, and the rare opportunity to turn algorithms into impact.
If that excites you, we are looking forward to receiving your applications! Feel free to reach out to nathan.menon@aurxel.com for further inquiries.
Click on Apply to know more.