At a Glance
- Tasks: Own product data and reporting processes while collaborating with various teams.
- Company: Join PGIM, a leading global asset management firm.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Collaborate across time zones in a vibrant team atmosphere.
- Why this job: Make an impact in a fast-paced setting with a focus on client success.
- Qualifications: Strong data skills, degree, and Excel proficiency required.
The predicted salary is between 59400 - 72600 £ per year.
PGIM, the global asset management arm of Prudential Financial, seeks a Senior Associate in London to own product data and reporting processes.
You’ll partner with Sales, Consultant Relations and the RFP team to deliver accurate data, support ad hoc requests, and drive process improvements across multiple projects.
Required are strong data skills, a degree, and Excel proficiency. The role emphasizes collaboration across time zones and a client-focused approach in a fast-paced environment.
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Senior Product Data & Analytics Lead (EMEA) in London employer: PGIM
PGIM Credit in London is an exceptional employer that prioritises sustainable investing and ESG initiatives, fostering a collaborative work culture where accuracy and timely delivery are paramount. Employees benefit from comprehensive growth opportunities, engaging with diverse teams across investment, marketing, and client relations, all while contributing to meaningful projects that drive positive change in the industry. With a commitment to thought leadership and innovation in sustainable finance, PGIM Credit offers a unique environment for professionals passionate about making a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Data & Analytics Lead (EMEA) in London
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We think you need these skills to ace Senior Product Data & Analytics Lead (EMEA) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at PGIM, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PGIM. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at PGIM
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
