Independent verification of logical and analytical models used in environmental, social, corporate governance (ESG) risk analysis, investment performance analysis, financial intelligence, stock ranking, portfolio analysis, and market intelligence.

Devise data and model verification strategy, develop and implement verification frameworks and prototypes using python/R, and perform data quality analysis

Closely collaborate with data engineers, software development, and product teams to ensure the accuracy and reliability of tools and data

Evaluate model specifications, data processes, and business logic for accuracy, completeness, thoroughness, and potential dislocations

End-to-end project and stakeholder management in a global setting

Software deployment and release management

Promote an environment that fosters a commitment to rigor in data research and analysis operational excellence, collaboration, and knowledge sharing

To start with, this will be an individual contributor role but in future there will be opportunities to lead a team.

Bachelors/Masters in Engineering/Information Science with strong hands-on experience in analytical programming using Python/R in the context of data manipulation, transformation, wrangling, or analysis

An MBA (finance), CFA level 1 or 2, or CIPM will be a big plus

Overall, 6 to 9 years of relevant experience

At least 2 years of team lead experience is required for this role.

Meticulous attention to detail, ability to transform data into actionable insights, identify patterns, trends, relationships, and clusters in the data

Ability to effectively communicate and collaborate with global business and technical teams

Self-starter and quick learner

Ability to adapt and work in a fast-paced environment independently with little supervision