Project Description
We are looking for a passionate and analytically driven Quantitative Researcher to join our fast-growing EdTech startup. The ideal candidate will work at the intersection of data science, finance, and education, building quantitative models and learning tools that simplify complex financial concepts for students and professionals.
You will play a key role in developing interactive learning systems, simulations, and analytics engines focused on financial markets, risk modeling, and quantitative strategies.
Responsibilities
Design and develop quantitative models and simulations for educational platforms (e.g., portfolio optimization, risk analysis, trading strategies)
Collaborate with content creators, educators, and engineers to translate complex quantitative concepts into engaging learning experiences
Build and maintain backend systems and APIs using Python for data processing and analytics
Develop interactive tools for scenario analysis, backtesting strategies, and market simulations
Work with large datasets to generate insights, visualizations, and educational content
Integrate real-time or historical market data into learning modules
Contribute to the development of microservices and scalable data pipelines
Participate in product development cycles, testing, and deployment in an agile environment
Continuously improve performance, accuracy, and usability of quantitative models
Mandatory Skills
2–4+ years of experience in quantitative research, data science, or financial engineering
Strong programming skills in Python (NumPy, Pandas, SciPy, etc.)
Solid understanding of financial concepts such as portfolio theory, risk metrics (VaR), derivatives, and market behavior
Experience working with databases (MongoDB, SQL)
Familiarity with data analysis, statistical modeling, and machine learning techniques
Ability to explain complex quantitative concepts in a simple, intuitive manner
Experience with version control (Git) and agile development practices
Bachelor's degree in Mathematics, Statistics, Finance, Computer Science, or related field
Why Join Us
Opportunity to redefine how quantitative finance is taught and learned
Work in a fast-paced startup environment with high ownership
Collaborate with a multidisciplinary team of educators, engineers, and researchers
Build impactful tools used by thousands of learners
Skills: numpy,pandas,quantitative models,python
or continue with email
We are looking for a passionate and analytically driven Quantitative Researcher to join our fast-growing EdTech startup. The ideal candidate will work at the intersection of data science, finance, and education, building quantitative models and learning tools that simplify complex financial concepts for students and professionals.
You will play a key role in developing interactive learning systems, simulations, and analytics engines focused on financial markets, risk modeling, and quantitative strategies.
Responsibilities
Design and develop quantitative models and simulations for educational platforms (e.g., portfolio optimization, risk analysis, trading strategies)
Collaborate with content creators, educators, and engineers to translate complex quantitative concepts into engaging learning experiences
Build and maintain backend systems and APIs using Python for data processing and analytics
Develop interactive tools for scenario analysis, backtesting strategies, and market simulations
Work with large datasets to generate insights, visualizations, and educational content
Integrate real-time or historical market data into learning modules
Contribute to the development of microservices and scalable data pipelines
Participate in product development cycles, testing, and deployment in an agile environment
Continuously improve performance, accuracy, and usability of quantitative models
Mandatory Skills
2–4+ years of experience in quantitative research, data science, or financial engineering
Strong programming skills in Python (NumPy, Pandas, SciPy, etc.)
Solid understanding of financial concepts such as portfolio theory, risk metrics (VaR), derivatives, and market behavior
Experience working with databases (MongoDB, SQL)
Familiarity with data analysis, statistical modeling, and machine learning techniques
Ability to explain complex quantitative concepts in a simple, intuitive manner
Experience with version control (Git) and agile development practices
Bachelor's degree in Mathematics, Statistics, Finance, Computer Science, or related field
Why Join Us
Opportunity to redefine how quantitative finance is taught and learned
Work in a fast-paced startup environment with high ownership
Collaborate with a multidisciplinary team of educators, engineers, and researchers
Build impactful tools used by thousands of learners
Skills: numpy,pandas,quantitative models,python
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