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 with a culture of innovation.
- Benefits: Competitive pay, flexible resources, generous paid leave, and wellbeing programs.
- Other info: Dynamic team environment with opportunities for continuous learning and growth.
- Why this job: Make a real impact in finance using cutting-edge AI and technology.
- Qualifications: High school education or equivalent; experience in financial services preferred.
The predicted salary is between 45000 - 55000 £ 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 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.
To be successful in this role, we’re seeking the following:
- 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.
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 Data Transfer, Integration & Quality Specialist in Manchester employer: BNY
At BNY, we pride ourselves on fostering a culture of innovation and collaboration, making it an exceptional place for professionals in the financial services sector. Located in Manchester, our team enjoys access to cutting-edge technology and a commitment to employee growth through continuous learning and development opportunities. With competitive compensation, generous benefits, and a focus on work-life balance, BNY is dedicated to supporting our employees' well-being and success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Transfer, Integration & Quality Specialist in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at BNY on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Senior Data Transfer role.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss your experience with pulse data, regression analysis, and Python. We want to see how you can apply these skills in real-world scenarios!
✨Tip Number 3
Show your commitment to continuous learning! Mention any recent courses or certifications you've completed that relate to data quality or financial services. This will demonstrate your dedication to staying ahead in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the BNY team.
We think you need these skills to ace Senior Data Transfer, Integration & Quality Specialist in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Transfer, Integration & Quality role. Highlight any relevant experience in data analysis, quality assurance, or financial services to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit for our team. Don’t forget to mention any experience with Python or data analysis tools.
Showcase Continuous Learning:We love candidates who are committed to growth! Mention any courses, certifications, or projects that demonstrate your dedication to learning and improving processes, especially in the context of digital tools and AI.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you one step closer to joining our amazing team!
How to prepare for a job interview at BNY
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data transfer, integration, and quality metrics. Be prepared to discuss specific examples from your past experience where you've successfully managed data quality or executed data fixes. This will show that you understand the role's requirements and can bring valuable insights.
✨Familiarise Yourself with Python and AI Tools
Since the job mentions a preference for Python and digital tools, it’s a good idea to have a basic understanding of these technologies. You don’t need to be an expert, but being able to discuss how you’ve used them in previous roles or how you plan to leverage them can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data quality or integration. Practise articulating your thought process clearly and logically. This will demonstrate your analytical skills and ability to think on your feet, which are crucial for this role.
✨Show Your Commitment to Continuous Learning
BNY values continuous improvement, so be ready to share examples of how you’ve pursued professional development. Whether it’s taking courses, attending workshops, or self-study, showing that you’re proactive about learning will resonate well with the interviewers.
