Senior Python Quant Developer / Data Scientist

Senior Python Quant Developer / Data Scientist
Department: Financial Services
Location: Gurgaon
Job Summary
We are looking for a highly skilled Senior Python Quant Developer with strong expertise in Python development, quantitative analytics, data science, machine learning, and statistical modeling. The ideal candidate should possess deep hands-on coding experience and a strong mathematical and analytical mindset, with proven experience building scalable data-driven solutions and predictive models.
This role requires a combination of engineering excellence and quantitative problem-solving capability. The candidate will work on large financial and market datasets, develop advanced analytical models, implement time-series forecasting solutions, and build robust ETL pipelines while collaborating closely with business stakeholders and quantitative teams.
Key Responsibilities
Design, develop, and maintain scalable Python-based analytical applications and data solutions.
Build robust, production-grade ETL pipelines for data ingestion, transformation, validation, and processing.
Apply strong Object-Oriented Programming (OOP) principles and software engineering best practices.
Develop quantitative models and analytical frameworks for solving complex business problems.
Perform statistical analysis, hypothesis testing, feature engineering, and predictive modeling.
Build and deploy machine learning models using supervised and unsupervised learning techniques.
Develop and implement time-series forecasting and regression models for financial and business datasets.
Work extensively with NumPy, Pandas, SciPy, and other Python-based analytical libraries.
Analyze large structured and unstructured datasets to derive actionable insights.
Optimize code performance and ensure scalability and maintainability of solutions.
Collaborate with business stakeholders to translate requirements into technical solutions.
Perform code reviews, troubleshooting, debugging, and technical documentation.
Mentor team members and contribute to technical excellence within the team.
Mandatory Skills
Python & Software Engineering
7+ years of work experience with strong hands-on Python programming experience.
Expert knowledge of Object-Oriented Programming (OOP).
Strong coding, debugging, and optimization skills.
Experience with API integration and scalable application development.
Familiarity with Git/version control systems.
Data Engineering
Strong experience building ETL pipelines and data processing workflows.
Experience handling large-scale datasets.
Strong data wrangling and transformation skills using Pandas and NumPy.
Quantitative & Statistical Modeling
Strong understanding of Quantitative Analytics and Mathematical Modeling.
Experience in Statistical Modeling and Predictive Analytics.
Expertise in Regression Techniques and Model Development.
Strong understanding of Probability, Statistics, and Data Analysis.
Time Series & Machine Learning
Hands-on experience with Time Series Analysis and Forecasting Techniques.
Experience with ARIMA, SARIMA, Exponential Smoothing, Prophet, or similar forecasting approaches.
Strong knowledge of Machine Learning algorithms and model evaluation techniques.
Experience in feature engineering, model validation, and performance optimization.
Data Science
Strong experience in Data Science and analytical problem-solving.
Ability to translate business problems into analytical solutions.
Experience working on predictive and prescriptive analytics use cases.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Finance, Data Science, or related quantitative fields.
Exposure to Financial Markets, Capital Markets, Fixed Income, Risk, or Investment Analytics.
Experience with cloud platforms and large-scale analytical environments.
Experience working with financial market data and quantitative research teams.
Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.
Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time. For any assistance, your recruiter is available to support you.

Work arrangement
Hybrid