At a Glance
- Tasks: Lead pricing models and analytics initiatives using AI to modernise operations.
- Company: BNY, a leading financial services firm with a supportive culture.
- Benefits: Competitive compensation package and a collaborative work environment.
- Other info: Opportunity to make a significant impact in a fast-paced industry.
- Why this job: Join a dynamic team and drive strategic growth through data-driven insights.
- Qualifications: Advanced Excel skills and experience with Power BI or Tableau required.
The predicted salary is between 80000 - 100000 £ per year.
BNY is seeking a VP for Pricing/Data/Deal Modelling & Analytics to join the Asset Servicing Pricing Team in London or Manchester. This role involves developing pricing models, collaborating with stakeholders, and leading initiatives to modernise operations through AI and analytics.
The ideal candidate will have advanced Excel skills and experience in data visualization tools such as Power BI or Tableau.
BNY offers a competitive compensation package along with a supportive work culture.
VP of Pricing & Data Analytics — Strategic Growth in London employer: BNY
At BNY, we pride ourselves on being an excellent employer, offering a dynamic work environment in the heart of London or Manchester. Our supportive culture fosters collaboration and innovation, providing employees with ample opportunities for professional growth and development, particularly in cutting-edge areas like AI and analytics. With a competitive compensation package and a commitment to modernising operations, BNY is the ideal place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land VP of Pricing & Data Analytics — Strategic Growth in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like BNY!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like BNY.
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We think you need these skills to ace VP of Pricing & Data Analytics — Strategic Growth 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at BNY, 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 BNY. 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 BNY
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at BNY!
✨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.
