Posted by Overview
We are seeking a highly motivated and skilled Research Associate to join our quantitative research team. The ideal candidate possesses a strong foundation in econometrics, machine learning, and Python programming, coupled with an unwavering appetite for data-driven research. This role requires a disciplined, hardworking individual committed to the highest standards of professional ethics and data integrity.
๐ Key Responsibilities
The Research Associate will be responsible for managing the full lifecycle of data in research projects:
- Data Acquisition and Management: Actively identify, extract, and collate data from diverse internal and external sources. This includes utilizing automated methods like web scraping (e.g., using Python libraries) as well as manual data gathering techniques.
- Data Cleaning and Preprocessing: Rigorously clean, transform, and prepare large, complex, and potentially messy datasets, ensuring data quality and readiness for sophisticated analysis.
- Analytical Modeling: Design, develop, and implement advanced quantitative models. This includes applying sophisticated econometrics (e.g., panel data, time-series, causal inference) and various machine learning techniques.
- Coding and Execution: Write efficient, well-documented, and scalable code, primarily in Python, for statistical analysis and model implementation.
- Research Documentation and Reporting: Maintain clear, comprehensive records of methodologies and findings. Contribute to the drafting of research papers, reports, and professional presentations.
๐ Required Qualifications & Skills
Technical Expertise (Non-Negotiable)
- Programming Proficiency: Demonstrated expert proficiency in Python, including core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Econometrics/Machine Learning: Strong theoretical knowledge and practical experience with empirical econometric methods. Hands-on experience applying ML techniques (e.g., supervised, unsupervised learning) to real-world research problems.
- Familiarity with a broad range of quantitative and statistical methods relevant to complex data analysis.
Professional & Ethical Traits
- Appetite for Research: A demonstrable passion and intellectual curiosity for exploring complex questions through rigorous data analysis.
- Discipline and Hardworking: Ability to manage multiple, demanding research tasks with strict attention to detail and a commitment to meeting deadlines.
- Integrity and Ethics: Unwavering honesty towards work and strict adherence to professional work ethics and research integrity standards.
๐ Education
- A Masterโs or Ph.D. in Economics, Computer Science, Data Science, or a closely related quantitative field is preferred. A Bachelorโs degree with significant relevant experience will also be considered.
๐ผ Compensation
- Salary Range: The expected salary is competitive as per industry standards and will be between โน 50,000 and โน 70,000 (per month), depending on the candidate’s qualification, experience, and performance in the interview process.
How to Apply
Interested candidates should submit a resume/CV, a cover letter detailing their experience with the required technical skills, and a brief writing sample demonstrating their analytical work to dripto@ascension.org.in copy to sandeep@ascension.org.in.