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Data Scientist - Risk & Investment Analytics at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 1800000 - Rs 5000000 (ie INR 18-50 LPA). Min Experience: 2 years. Location: India. JobType: full-time. We are looking for a Data Scientist with a strong analytical foundation and experience working with large, complex data sets to drive insights and build high-impact risk and investment metrics. You’ll work closely with financial analysts, engineers, and product managers to develop models, tools, and dashboards that power strategic decision-making and asset evaluation.. Key Responsibilities:. . Collaborate with analysts and engineers to analyze large-scale financial data and derive actionable, investment-relevant metrics. . . Apply statistical modeling, simulation, and data science techniques to uncover patterns, generate insights, and shape data-driven business questions. . . Design and implement robust risk factor models using advanced statistical and programming methods. . . Conduct thorough testing and validation of models to ensure reliability in identifying and managing risk factors. . . Develop customer-facing metrics, dashboards, and data visualizations to support key business decisions. . . Partner cross-functionally with product, engineering, and research teams to continuously improve the data analytics platform and ensure alignment with business goals. . . Requirements:. . Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field—or equivalent practical experience. . . 3+ years of experience in data analysis and developing data-driven metrics. . . Proven experience interpreting complex data, drawing insights, and communicating results effectively to stakeholders. . . 2+ years of hands-on experience with SQL and writing advanced queries. . . 2+ years of scripting and data manipulation using Python. . . Eagerness to explore and adopt new technologies to address real-world problems with creativity and autonomy. . . Strong business acumen, communication skills, and a self-driven, problem-solving mindset. . . Proficiency in SQL and Python is a must. . . Experience with tools such as Airflow, Google BigQuery, and ClickHouse is a strong plus. . . Skills:. Python, SQL, Data Modeling, Google BigQuery, ClickHouse, Airflow (nice to have). Company Location: India.