At a Glance
- Tasks: Drive data-informed decisions and translate analytics into insights for senior stakeholders.
- Company: Columbia Threadneedle Investments, a leader in asset management.
- Benefits: Competitive salary, professional development, and a supportive team environment.
- Other info: Collaborative culture with opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact by leveraging advanced analytics in a dynamic industry.
- Qualifications: Senior analytics experience and strong problem-solving skills.
Columbia Threadneedle Investments seeks a senior analytics professional to drive data-informed decisions across EMEA in London. You will translate advanced analytics outputs into clear insights for senior stakeholders within Asset Management, leveraging ML, data governance, and cross-functional collaboration.
The role emphasizes problem framing in complex contexts, delivering practical analytics integrated into business processes, with a dedicated data science team in support.
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EMEA Analytics Partner, Asset Management Strategy employer: Ameriprise Financial Services, LLC
Columbia Threadneedle Investments is an exceptional employer, offering a collaborative and inclusive work culture that prioritises face-to-face interaction and personal connection. With a strong commitment to employee growth and development, the company provides opportunities for meaningful contributions within the financial services sector, all while maintaining a focus on work-life balance and flexibility. Located in a vibrant area, employees benefit from a supportive environment that values diversity and encourages professional advancement.
Contact Details:
Ameriprise Financial Services, LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land EMEA Analytics Partner, Asset Management Strategy
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We think you need these skills to ace EMEA Analytics Partner, Asset Management Strategy
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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