Develop, design and build scalable and modular software components for quantitative analysis and financial modeling and investment analytics for risk models, and high-volume complex data processing pipelines.
Ensure quality & performance of research data pipeline and curated new premium content using different approaches
Conduct research on additional content / data which can add value to models and or investment processes
Perform & implement complex quantitative calculations with high accuracy and performance
Collaborate with modelers, content experts to develop content expertise and implement optimized and performant solutions
Apply statistical methods to real-world financial data & climate data to derive business insights
Optimize algorithms for time-series data analysis and financial computations
Skills & Qualifications:
Bachelor or master s level education in Computer Science, Engineering, or a related discipline
Minimum 3+ years of experience in Python-based full scale production software development and design
Formidable analytical, problem-solving, and production troubleshooting skills
Understanding of climate/ESG vendors, climate datasets, and standards
A passion for providing fundamental software solutions for highly available, performant full stack applications with a Student of Technology attitude
Passion to work in a team-environment, multitasking, and effective communication skills
Knowledge of software development methodologies (analysis, design, development, testing) and basic understanding of Agile / Scrum methodology and practices
Ability and willingness to learn fast, multi-task, self-motivate and pick up new things easily
Ability to work independently and efficiently in a fast-paced and team-oriented environment
Good to Have
Understanding of Agile work environments, including knowledge of GIT, CI/CD.
