Aladdin Financial Engineering - Associate

Key Responsibilities:

• 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.
• Knowledge of investment process, climate risk particularly transition risk & decarbonization analytics.
• Exposure to curate unstructured data using NLP / Gen AI /LLM
• CFA/FRM preferred