Senda is an Agentic Reasoning AI platform transforming how financial decisions are made through AI-driven quantitative analysis and reasoning models . Backed by marquee global investors , we build intelligent financial products that combine data science, quantitative modeling, and reasoning AI to empower better financial decision-making across wealth management, asset management, capital markets, insurance, lending, and banking ecosystems.
You will join a high-energy quant and analytics team that builds, tests, and scales financial models within our reasoning AI framework. This is an opportunity to work on real-world financial data , design analytical models, and contribute directly to next-generation financial decision systems.
What You'll Do
- Develop, test, and maintain Python-based financial models for portfolio analytics, risk management, and quantitative research.
- Work with large structured and unstructured datasets to derive actionable insights.
- Build and optimize data pipelines and APIs that power our Agentic Reasoning AI systems.
- Collaborate with product and AI teams to embed quant models into financial reasoning workflows.
- Implement and backtest models for alpha generation, portfolio optimization, and risk attribution .
- Ensure accuracy, efficiency, and scalability of all models and analytical processes.
- Continuously learn and apply new techniques in financial modeling, AI / ML,and econometrics .
- Integrate and work with financial data feeds from sources like Bloomberg, Reuters, Morningstar, and other market APIs to enrich model development and backtesting.
What We're Looking For
We're looking for curious minds who love mathematics, data, and finance — individuals who thrive on solving problems, taking ownership, and turning complex numbers into intelligent financial insights.
1–3 years of experience in quantitative finance, data analytics, or financial modeling.Strong proficiency in Python (NumPy, Pandas, SciPy, Scikit-learn, or PyTorch).Solid understanding of databases (SQL and NoSQL) and experience handling large financial datasets.Familiarity with portfolio theory, risk metrics, or financial time series analysis .Exposure to data visualization tools like Plotly, Dash, or Matplotlib.Curiosity to explore and build reasoning-based AI models for financial applications.Strong analytical thinking, detail orientation, and ability to work independently in a fast-paced environment.Preferred Background : Degrees in Engineering, Statistics, Mathematics, Economics, Finance, or related quantitative disciplines.Why Join Us
Work on cutting-edge quantitative models at the intersection of AI and finance.Be part of a global team pioneering reasoning-based decision systems.Gain exposure to financial modeling, AI integration, and data-driven decision workflows .Learn directly from senior quants, data scientists, and AI researchers .Thrive in a startup environment that values curiosity, ownership, and innovation.If you love mathematics and finance , and are passionate about quantitative finance, AI, and solving complex financial problems , join us in building the next generation of reasoning-powered financial systems.
Apply Now and Help Redefine Financial Decision Intelligence!
Skills Required
Matplotlib, Scipy, Sql, Nosql, Numpy, Bloomberg, Pandas, Pytorch, morningstar, Python