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- Tasks: Lead a high-performing team in financial data reconciliation and automation.
- Company: Join BNY, a global leader in financial services with a culture of innovation.
- Benefits: Competitive pay, flexible resources, generous leave, and wellbeing programs.
- Why this job: Make an impact using AI to transform finance and enhance client outcomes.
- Qualifications: Bachelor's degree and 2 years of relevant experience required.
- Other info: Dynamic environment with opportunities for personal and professional growth.
The predicted salary is between 50000 - 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 #LifeAtBNY is all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of Financial Data Reconciliation & Automation Analyst to join BNY’s Reconciliation Platform. This role is located in Manchester, UK.
Responsibilities
- Ensure the integrity of data and exception workflows, partnering with Operations and Technology to deliver automation, insights, and process improvements.
- Leverage advanced agentic AI solutions to reduce break volumes, accelerate resolution, and enhance client outcomes.
- Lead and develop a high‑performing team, prioritising and delivering initiatives that strengthen controls, reduce risk, and continuously improve processes and user journeys.
- Oversee the application of intelligence to reconciliation and exception data, guiding the team to identify trends and root causes, and directing the proposal and implementation of AI automation initiatives.
- Lead the identification of opportunities, foster innovation, and supervise the design and deployment of agentic AI solutions.
- Ensure effective utilization of technology capabilities to enhance scalability, client service, and risk reduction across the team.
- Guide the analysis and optimization of user journeys and process flows by applying BNY principles, promote and deliver agile practices.
- Oversee the reconciliation ecosystem across cash, positions, and transactions; set standards, review critical outputs, and ensure timely issue resolution.
- Ensure team proficiency across products supported by the group (Custody, Alternatives, Fund Services, Middle Office, Wealth Services); align training and coverage to demand.
- Direct exception management with urgency and discipline, escalating per governance and risk protocols; track resolution metrics and drive continuous improvement.
- Maintain robust documentation, controls, and audit readiness; oversee change releases, UAT, and defect management to protect service quality.
- Partner with Operations, Technology, Risk, and Client Service to coordinate communications, remove impediments, and meet SLAs.
- Assign and prioritize work, optimize resource allocation, and manage team performance; coach and upskill staff, lead process improvements, and own outcomes for completion, quality, and efficiency.
Qualifications
- Bachelor's degree in Business, Finance, or related field required.
- Minimum of 2 years of related, hands‑on experience.
- Demonstrable interest and awareness in the potential of artificial intelligence (AI).
- Ability to self‑manage, prioritize, and execute workload.
- Familiarity with technical applications to include, but not limited to, Microsoft Office applications.
- Strong analytical and problem‑solving abilities to manage complex transaction processes.
- Excellent communication and interpersonal skills to effectively collaborate with clients and internal teams.
- Evidence of leading successful optimization/re‑engineering of operational processes through data‑driven, analytical approaches.
Benefits
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.
Senior Specialist, Reconciliation in Manchester employer: BNY Mellon
Contact Detail:
BNY Mellon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Specialist, Reconciliation 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 maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by researching BNY’s recent projects and innovations. Show them you’re not just another candidate; you’re genuinely interested in how they’re shaping the future of finance.
✨Tip Number 3
Practice your answers to common interview questions, especially around data reconciliation and AI solutions. We want you to sound confident and knowledgeable when discussing your experience and ideas.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the BNY team.
We think you need these skills to ace Senior Specialist, Reconciliation in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Specialist, Reconciliation role. Highlight relevant experience and skills that match the job description, especially your analytical abilities and familiarity with AI solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background aligns with our mission at BNY. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Problem-Solving Skills: In your application, don’t forget to showcase your problem-solving skills. Provide examples of how you've tackled complex transaction processes or led successful optimisations in previous roles. We love seeing data-driven approaches!
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at BNY Mellon
✨Know Your Numbers
As a Senior Specialist in Reconciliation, you'll be dealing with complex financial data. Brush up on your financial metrics and reconciliation processes before the interview. Be ready to discuss specific examples of how you've improved data integrity or resolved discrepancies in past roles.
✨Showcase Your AI Savvy
BNY is keen on leveraging AI for process improvements. Familiarise yourself with the latest AI tools and technologies relevant to reconciliation. Prepare to share insights on how you've used technology to enhance efficiency or reduce errors in your previous positions.
✨Demonstrate Leadership Skills
This role involves leading a high-performing team, so be prepared to discuss your leadership style. Think of examples where you've successfully coached team members or led initiatives that resulted in significant process improvements. Highlight your ability to motivate and guide others.
✨Communicate Clearly
Excellent communication is key in this role, especially when collaborating with various teams. Practice articulating your thoughts clearly and concisely. Consider preparing a few scenarios where effective communication led to successful outcomes in your previous work.