Author: The Hub

Let’s be #BrilliantTogether

About ISS

Institutional Shareholder Services Inc. (ISS) is the world’s leading provider of corporate governance and responsible investment (RI) solutions for asset owners, asset managers, hedge funds, and asset service providers. ISS’ solutions include: objective governance research and recommendations; RI data, analytics, and research; end-to-end proxy voting and distribution solutions; turnkey securities class-action claims management; and reliable global governance data and modeling tools.

Please visit www.issgovernance.com

ISS has more than 30-year history of working with institutional investors globally makes it the most experienced governance advisor in the sector enabling the financial community to manage governance risk for the benefit of shareholders.

ISS is headquartered in US and is a global leader in Corporate Governance and Responsible Investment solutions for Financial community. We are a global multinational company into Financial Services domain (with focus on Governance) with more than 2000+ employees spread across 33 offices in 13 countries. Mumbai is our core technology office (established in 2011) and we have 600+ employees currently and growing very fast with multiple data and research teams being established now.

 Please visit our careers site https://www.issgovernance.com/join-the-iss-team/

Junior Data Analyst

Overview

ISS ESG offers expertise across a full range of environmental, social and governance (ESG) issues – having worked with leading asset owners and asset managers to develop solutions to integrate Responsible Investment (RI) into the creation of long term value based on market understanding and expert analysis.

Responsibilities

Completing basic and advanced desk research and analysis on companies’ management of environmental and social risks and compliance with international norms on responsible business conduct

• Learning about environmental, social and governance trends and issues and ability to acquire specific knowledge about the dominant issues for a number of industries.
• Attend to internal/client queries and requests to ensure data captured is aligned with data methodology and policy guidelines
• Comply with established work process standards to ensure quality of data collected
• Meet pre-determined turn-around goals for work assignments
• Escalate data interpretation issues, as needed
• Perform root-cause analysis if data issues are identified
• Update internal documents for performance metrics monitoring
• Participate in working committees/ projects and/or tasks aside from his/her core responsibilities
• Maintain appropriate paper and electronic files as required by ISS and client file retention policies

Qualifications

• Post-Graduation in Finance and Economics
• Experience in data collection and analysis, or knowledge in ESG and business research would be an advantage
• Knowledge and experience in using MS Office.
• Excellent English communication (both oral and written) and reading comprehension skills.
• Strong analytical and problem-solving skills, with clear attention to detail.
• Ability to prioritize and work under tight deadlines.
• Fast learner, able to master new concepts, theories, ideas and processes with ease.
• Willingness to work beyond traditional working hours/days as required by the business.

What you can expect from us

Our people are the moving force behind ISS STOXX. 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 empower, collaborate, and inspire one another. 

Let’s be #BrilliantTogether.

About ISS STOXX

ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders’ benefit. 

ISS ESG solutions enable investors to develop and integrate sustainable investing policies and practices, engage on responsible investment issues, and monitor portfolio company practices through screening solutions. ISS ESG also provides climate data, analytics, and advisory services to help financial market participants understand, measure, and act on climate-related risks across all asset classes. In addition, ESG solutions cover corporate and country ESG research and ratings enabling its clients to identify material social and environmental risks and opportunities.  

Visit our website: https://www.issgovernance.com       

View additional open roles: https://www.issgovernance.com/join-the-iss-team/      

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 race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”).  All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. 

Company Description

Tesco Bengaluru
We are a multi-disciplinary team creating a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility, providing cutting-edge technological solutions and empowering our colleagues to do ever more for our customers. With cross-functional expertise in Global Business Services and Retail Technology & Engineering, a wide network of teams and strong governance we reduce complexity thereby offering high quality services for our customers. Tesco Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 4,40,000 colleagues.
At Tesco Business Solutions, we have a mission to simplify, scale & partner to serve our customers, colleagues and suppliers through a best-in-class intelligent Business Services model . We do this by building a world class business services model by executing service model framework right at the heart of everything we do for our worldwide customers. The key objective is to implement and execute service model across all our functions and markets consistently. The ethos of business services is to free-up our colleagues from a regular manual operational work. We use cognitive technology to augment our key decision making. We also built a Continuous Improvement (CI) culture across functions to drive bottom-up business efficiencies by optimising processes. Business services colleagues need to act as a business partner with our group stakeholders to build a collaborative partnership driving continuous improvement across markets and functions to lead the best customer experience by serving our shoppers a little better every day.
At Tesco, inclusion means that Everyone’s Welcome. Everyone is treated fairly and with respect; by valuing individuality and uniqueness we create a sense of belonging.
Diversity and inclusion have always been at the heart of Tesco. It is embedded in our values: we treat people how they want to be treated. We always want our colleagues to feel they can be themselves at work and we are committed to helping them be at their best.
Across the Tesco group we are building an inclusive workplace, a place to actively celebrate the cultures, personalities and preferences of our colleagues, who in turn help to build the success of our business and reflect the diversity of the communities we serve.

Job Description

– Identifying operational improvements and finding solutions by applying CI tools and techniques
– Responsible for completing tasks and transactions within agreed KPI’s
– Knows and applies fundamental work theories/concepts/processes in own areas of work
Engaging with business & functional partners to understand business priorities; ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making
– In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources
– Building Statistical models and ML algorithms with practitioner level competency
– Writing structured; modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub; Wiki; etc) with expert competency
– Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions – this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs
– Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any)

Qualifications

– Applied Math: Applied Statistics; Design of Experiments; Linear & Logistic Regression; Decision Trees; Forecasting; Optimization algorithms
– Tech: SQL; Hadoop; Python; Tableau; MS Excel; MS Powerpoint
– Soft Skills: Analytical Thinking & Problem solving; Storyboarding

Additional Information

Last Date of Application-10th Feb 2024

Important Notice: 

On behalf of Tesco Bengaluru, we must caution all job seekers and educational institutions that Tesco Bengaluru does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Tesco. Further, Tesco Bengaluru does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. 

Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Tesco Bengaluru shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution. 

In the event that you come across any fraudulent activities in the name of Tesco Bengaluru, please feel free report the incident at

re**************************@te***.com