At a Glance
- Tasks: Lead pricing model development and modernise operations using AI and analytics.
- Company: BNY, a leader in asset servicing with a supportive work culture.
- Benefits: Competitive compensation package and opportunities for professional growth.
- Other info: Work in vibrant London or Manchester with excellent career advancement opportunities.
- Why this job: Join a dynamic team and make a significant impact on strategic growth.
- Qualifications: Advanced Excel skills and experience with data visualisation tools like Power BI or Tableau.
The predicted salary is between 80000 - 100000 Β£ 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 β Strategic Growth 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 commitment to employee growth is reflected in our supportive culture and competitive compensation package, alongside opportunities to lead innovative projects that leverage AI and analytics. Join us to be part of a forward-thinking team that values collaboration and professional development.
StudySmarter Expert Adviceπ€«
We think this is how you could land VP of Pricing & Data Analytics β Strategic Growth
β¨Get Involved in Data Science Meetups
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We think you need these skills to ace VP of Pricing & Data Analytics β Strategic Growth
Some tips for your application π«‘
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. Donβt 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 youβre 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
β¨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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β¨Get Comfortable with Python and R
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β¨Prepare for Case Studies
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