Senior Python Quant Developer / Data Scientist

Evalueserve, Inc.; Gurugram District; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

Evalueserve, Inc. is seeking a Senior Python Quant Developer to design and implement scalable analytics solutions. You will work on large financial datasets, build predictive models, and develop robust ETL pipelines.

The role combines engineering excellence with quantitative problem-solving, requiring hands-on coding and strong mathematical skills. Collaboration with quantitative teams and stakeholders is essential.

Qualifications

• 7+ years of hands-on Python development experience.
• Strong OOP and software engineering practices.
• Experience building ETL pipelines and data workflows.
• Proficiency with Pandas and NumPy.
• Experience with time-series forecasting and ML.

Responsibilities

• Design, develop, and maintain scalable Python-based analytical applications.
• Build production-grade ETL pipelines for ingestion, transformation, validation, and processing.
• Develop quantitative models and analytical frameworks for business problems.
• Perform statistical analysis, hypothesis testing, and feature engineering.
• Deploy machine learning models and time-series forecasting solutions.
• Collaborate with stakeholders to translate requirements into technical solutions.

Skills

Python

OOP

ETL pipelines

Data wrangling

Pandas

NumPy

Statistical modeling

Time series forecasting

ML algorithms

API integration

Education

Bachelor's or Master's degree in quantitative field

Tools

Git

SQL

Cloud platforms

Job description

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.
• Strong experience building ETL pipelines and data processing workflows.
• Strong data wrangling and transformation skills using Pandas and NumX.

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.
• 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.