Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse and monitor data to ensure quality and accurate transfer and reporting.
- Company: Join BNY, a leading global financial services company driving innovation.
- Benefits: Competitive pay, flexible resources, generous leave, and wellbeing programs.
- Why this job: Be part of a team that uses cutting-edge tech to redefine finance.
- Qualifications: High school education or equivalent; experience in financial services preferred.
- Other info: Dynamic environment with opportunities for continuous learning and career growth.
The predicted salary is between 36000 - 60000 £ 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. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what it’s all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of Senior Associate, OPS Data Transfer, Integration & Quality to join our Wealth Services Operations team. This role is based in Manchester.
In this role, you’ll make an impact in the following ways:
- Analyses and monitors data/reports to ensure quality of and accurate transfer, integration, translation, and reporting of data, reacting promptly to data quality statistics and client inquiries.
- Based on both documented processes and experiential analysis, executes simple to moderately complex data fixes, resulting in improved performance or accuracy.
- Executes test plans and ensures the quality and accurate delivery/transfer of test and production files.
- Builds domain and product knowledge through assisting colleagues and frequent interaction with technology developers, product teams, relationship/account managers, etc.
Requirements for success:
- High school/secondary education or equivalent experience required; bachelor’s degree welcomed but not mandatory.
- Several years of professional experience preferred, ideally in securities or financial services.
- Experience with pulse data, regression analysis and Python preferred.
- Demonstrated commitment to continuous learning and delivering process improvements, including the use of digital tools and AI.
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.
Senior Associate, OPS Data Transfer, Integration & Quality in Manchester employer: BNY
Contact Detail:
BNY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Associate, OPS Data Transfer, Integration & Quality in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at BNY on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which can double your chances of landing that interview.
✨Tip Number 2
Prepare for the interview by researching BNY’s recent projects and innovations. Show us you’re not just interested in the role but also in how you can contribute to their mission of redefining industries with cutting-edge tech.
✨Tip Number 3
Practice common interview questions related to data analysis and quality assurance. We want to see how you think on your feet, so consider using the STAR method to structure your answers and highlight your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the BNY team and ready to make an impact in the Wealth Services Operations.
We think you need these skills to ace Senior Associate, OPS Data Transfer, Integration & Quality in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Associate role. Highlight your experience with data transfer, integration, and quality assurance, as these are key aspects of the job. We want to see how your skills align with what we’re looking for!
Showcase Relevant Experience: When detailing your professional experience, focus on roles where you’ve worked with data analysis or in financial services. If you've used tools like Python or have experience with pulse data, make sure to mention that! We love seeing how you can bring value to our team.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points for easy reading and ensure your key achievements stand out. We appreciate clarity, so don’t be afraid to show us what you’ve accomplished in previous roles!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details directly and ensures you’re considered for the role. Plus, it’s super easy to do – just follow the prompts!
How to prepare for a job interview at BNY
✨Know Your Data
Make sure you brush up on your knowledge of data transfer and integration processes. Familiarise yourself with common data quality issues and how to address them, as well as any relevant tools like Python that might come up during the interview.
✨Showcase Your Experience
Prepare specific examples from your past roles that demonstrate your ability to analyse data and execute fixes. Highlight any experience you have in the financial services sector, especially if it involves pulse data or regression analysis.
✨Ask Insightful Questions
Come prepared with questions that show your interest in BNY's operations and culture. Inquire about their approach to continuous learning and how they leverage AI in their processes. This shows you're not just interested in the role, but also in the company’s future.
✨Emphasise Team Collaboration
Since this role involves working closely with various teams, be ready to discuss how you've successfully collaborated in the past. Share examples of how you’ve built relationships with colleagues and contributed to team success, particularly in a tech-driven environment.
