Campion Pickworth
Data Analytics Manager
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Campion Pickworth is partnering with a leading financial advisory firm to recruit for a role within the Data Analytics space, within its banking and capital markets practice. This role presents a strong opportunity for someone looking to apply deep technical and modelling expertise while working closely with stakeholders across a fast-paced, high-performing team.
About the role:
This is a role for someone who enjoys leading teams, managing complex projects, and solving real-world financial services challenges in a fast-paced environment. You’ll sit at the intersection of analytics, audit, and regulatory change – leading the delivery of data and modelling initiatives, shaping how analytics is applied across the audit lifecycle, and working closely with senior stakeholders to drive impactful outcomes.
Essential requirements:
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- Experience working within an analytics or modelling environment in financial services, ideally within professional services or a large financial institution.
- Proven experience leading multiple teams and projects, managing competing deadlines and senior stakeholders.
- Strong project and engagement management skills, with accountability for delivery, quality, timelines, and client relationships.
- Experience managing, mentoring, and developing junior team members, with a track record of building high-performing teams.
- Strong understanding of banking and capital markets, with knowledge of one or more financial asset classes such as derivatives, loans, or mortgages.
- Strong technical capability, including advanced Excel and SQL, plus experience with at least one of Python/PySpark, VBA, Tableau, or Power BI.
- Excellent attention to detail, including experience reviewing code, analytical outputs, and documentation.
- Strong communication and stakeholder management skills, with the ability to build trusted relationships with clients and senior stakeholders.
- A quantitative degree or equivalent background in a relevant discipline such as mathematics, statistics, computer science, finance, engineering, or a related field.
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Desirable requirements:
- Professional qualification or progress towards one, such as CQF, FRM, CFA, ACA, or CIMA.
- Understanding of the financial services regulatory environment and data quality frameworks such as BCBS 239.
- Experience developing or working with cashflow models.
- Experience working across audit, assurance, analytics, or regulatory change environments.
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