At a Glance
- Tasks: Develop pricing models and collaborate with teams to drive business growth.
- Company: Join BNY, a leading global financial services company shaping the future of finance.
- Benefits: Competitive pay, flexible resources, generous leave, and wellbeing programs.
- Other info: Be part of a culture that values innovation and personal growth.
- Why this job: Make a real impact using AI and data science in a dynamic environment.
- Qualifications: Strong analytical skills, advanced Excel, and communication abilities required.
The predicted salary is between 70000 - 90000 £ per year.
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
We’re seeking a future team member for the role of VP, Pricing/Data/Deal Modelling & Analytics to join our Asset Servicing Pricing Team. This role will be based in either London or Manchester.
In this role, you’ll make an impact in the following ways:
- Develop commercially robust proposals that enable Client Coverage teams to win new business, and to retain and expand existing client relationships.
- Concept, build, implement & maintain pricing models, reports & dashboards.
- Work with cross-functional stakeholders to translate their analytical requirements into commercial insights.
- Collaborate with product teams to agree pricing benchmarks and guard rails.
- Support in the costing out and implementation of new services into the pricing models and fee schedules.
- Identify areas of revenue leakage.
- Work closely with revenue billing services partners and ensure invoices and fee schedules have the right components captured to avoid revenue leakage.
- Maintain good hygiene around capture of management information and KPIs.
- Lead, support and encourage initiatives to modernize BAU through AI and data science: automate repetitive tasks, implement workflow optimization, and deploy MLOps practices for reliable model lifecycle management.
To be successful in this role, we’re seeking the following:
- High attention to detail with a desire to pursue knowledge & understanding.
- Structured approach to work.
- Advanced Excel & data visualization skills required (Power BI and/or Tableau).
- SQL experience preferred but not essential.
- Bachelor's degree or the equivalent combination of education and experience is required.
- Strong communication and negotiation skills required.
- Experience in financial accounting, economics preferred.
- Experience conducting qualitative and quantitative analysis in a business setting is preferred.
Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
VP, Pricing/Data/Deal Modelling & Analytics in Manchester employer: BNY Mellon
At BNY, we pride ourselves on fostering a culture of innovation and collaboration, making us an exceptional employer for those in the VP, Pricing/Data/Deal Modelling & Analytics role. With our commitment to employee growth, competitive compensation, and a focus on wellbeing, you will thrive in an environment that encourages bold ideas and advanced technology. Located in vibrant cities like London and Manchester, you will be part of a team that not only drives transformative solutions but also uplifts communities worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land VP, Pricing/Data/Deal Modelling & Analytics in Manchester
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like BNY Mellon. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace VP, Pricing/Data/Deal Modelling & Analytics in Manchester
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to BNY Mellon.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on BNY Mellon's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at BNY Mellon
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with BNY Mellon.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at BNY Mellon will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former BNY Mellon employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
