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Location

Mumbai | India

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Job description

Let's be #BrilliantTogether

ISS is growing! ISS seek a Senior Associate to join our QBIT (Quality Assurance Benchmarking and Independent Testing) Analytics Team in Mumbai, India.

Overview

The QBIT Analytical Verification team independently verifies if various models, data solutions, data processes and business logics related to corporate governance and responsible investing are implemented accurately. The analytical verification encompasses independently developing prototypes of models, data processes and business logics, devising test cases and vectors, production code review and documentation of the test results. An Associate is expected to assist the team in all the stages of the analytical verification cycle. The candidate will be responsible for designing, planning, executing, and supporting the automated verification as well as software deployment and release management.

Responsibilities

• 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.

Note: This is a techno-functional role that blends the domains of ESG risk, programming, and data analysis. You will primarily work on technologies such as Python/R and MS SQL Server 2017.

Qualifications

• 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, 7 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
• Please Note: The job role does not involve work related to Machine Learning.

'We offer a hybrid work schedule of 3 days in office and 2 days work from home. Most offices have returned to working in-office'.

#MIDSENIOR

What You Can Expect From Us

Our people are the moving force behind ISS. We are dedicated to hiring the best, most talented people in our industry and empowering them with the resources and support to enhance their career, health, financial and personal well-being.

We are committed to fostering, cultivating, and preserving a culture of diversity and inclusion. We are invested in our people and are working every day to ensure a diverse, equitable, and inclusive workplace.

Let's unite, collaborate, and inspire one another.

Let's be #BrilliantTogether .

About ISS

ISS empowers investors and companies to build for long-term and sustainable growth by providing high-quality data, analytics, and insight. We are committed to positively impacting the environment and society through our market-leading solutions and leading by example.

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Institutional Shareholder Services ('ISS') is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, social origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or any other characteristic protected by law.

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