At a Glance
- Tasks: Conduct quantitative analysis on ESG data and support sustainable investment solutions.
- Company: Join a leading firm focused on global sustainability and responsible investing.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work in a dynamic team with a focus on innovation and collaboration.
- Why this job: Make a real impact in sustainability while developing your analytical skills.
- Qualifications: Bachelor's degree and 2 years of experience in data analysis, preferably in investment management.
The predicted salary is between 30000 - 40000 € per year.
The ESG Data Analyst will support a range of ESG quantitative analysis to support the Global Sustainability team as well as members of the equity, fixed income and multi-asset team focused on providing customized sustainable solutions. The Sustainability team are subject matter experts on environmental and social issues and work in tandem with the Governance team to support Analysts and Portfolio Managers in integrating Environmental, Social and Governance (ESG) considerations into the investment process. The position provides deep knowledge of our investment organization and how we interact with Investments and partners across the organization.
Principal Responsibilities
- Conduct quantitative analysis on the ESG characteristics of investment portfolios
- Conduct quantitative analysis to support new and manage existing sustainable mandates
- Support compliance monitoring for sustainable funds/mandates where automated solutions do not exist
- Assist in collating and analyzing sustainability data required for custom ESG reporting
- Participate in pre-trade monitoring (for example exclusions checks)
- Assist the team in responding to incoming ESG data queries
- Assist the team in maintaining data for sustainability dashboards and KPIs (for example ESG AUM, research published, headcount, etc)
- Maintain standard data in models that does not have a vendor feed
- Assist in data governance and quality checks
PERSONAL ATTRIBUTES / SKILLS / QUALIFICATIONS
Required:
- Bachelor's degree or the equivalent combination of education and relevant experience with ideally a minimum of 2 years experience in a data related role within Investment Management
- Excellent analytical skills
- Excellent Excel skills
- Understanding of coding in Python
- Ability to communicate well – oral and written
- Ability to learn and work with multiple systems effectively
- Ability to multitask, prioritize work collaboratively and independently
- Resourceful, self-motivated, and intellectually curious with strong attention to detail
- Capable of building and maintaining strong relationships
Preferred:
- Knowledge of Power BI
- Experience with ESG/market data services preferred (Bloomberg, Sustainalytics, MSCI ESG etc.)
- Experience in using AI to automate processes
Work Flexibility: This position allows for one day per week working from home.
Analyst, Data Analytics - Global Sustainability in London employer: T. Rowe Price
As an employer, we pride ourselves on fostering a collaborative and innovative work culture that prioritises sustainability and employee growth. Our Global Sustainability team is at the forefront of integrating ESG considerations into investment processes, offering employees the opportunity to engage in meaningful work that contributes to a better future. With flexible working arrangements and a commitment to professional development, we empower our analysts to thrive in their roles while making a positive impact.
StudySmarter Expert Advice🤫
We think this is how you could land Analyst, Data Analytics - Global Sustainability in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in ESG or data analytics. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Excel or Python, consider creating a small project or analysis to showcase your abilities. Share it on LinkedIn or during interviews to stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on ESG topics and current trends. Being able to discuss these intelligently will show you're not just interested in the role but also passionate about sustainability.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Analyst, Data Analytics - Global Sustainability in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Analyst role. Highlight your analytical skills, Excel expertise, and any relevant experience in data analytics or investment management.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about sustainability and how your background aligns with our mission. Be sure to mention any specific projects or experiences that showcase your understanding of ESG considerations.
Show Off Your Technical Skills:Don’t forget to mention your coding skills, especially in Python, and any experience with tools like Power BI. We love seeing candidates who can bring technical know-how to the table!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at T. Rowe Price
✨Know Your ESG Stuff
Make sure you brush up on your knowledge of Environmental, Social, and Governance (ESG) issues. Familiarise yourself with current trends and challenges in sustainability, as well as how they relate to investment management. This will show that you're not just a data whiz but also genuinely interested in the field.
✨Excel and Python Proficiency
Since the role requires excellent Excel skills and some coding in Python, be prepared to discuss your experience with these tools. You might even want to practice a few Excel functions or Python scripts beforehand, so you can confidently demonstrate your abilities during the interview.
✨Show Off Your Analytical Skills
Prepare to talk about specific examples where you've conducted quantitative analysis in previous roles. Think about how you approached the problem, the tools you used, and the impact of your findings. This will help illustrate your analytical prowess and how it can benefit their team.
✨Communication is Key
Since you'll need to communicate complex data insights clearly, practice explaining your past projects in simple terms. Be ready to showcase your written communication skills too, as you may need to prepare reports or respond to queries. A clear communicator is always a plus!
