Finance Data Science & Analytics Manager
Role details
Job location
Tech stack
Job description
Shape the future of data science, analytics and financial innovation at Cynergy Bank.
Join us as a Finance Data Science & Analytics Manager and play a pivotal role in transforming how data, modelling, and analytics support strategic decision-making across our Treasury and Finance functions. Working at the intersection of banking, technology, and data science, you'll help drive smarter decisions, optimise our balance sheet, and support the development of innovative analytical solutions that create real business value.
What's the Opportunity?
This is a unique opportunity to join a growing, forward-thinking bank where your work will directly influence senior decision-making and strategic initiatives. Reporting to the Head of Financial Risk Modelling, you'll lead the application of advanced analytics, machine learning, and data science techniques to support balance sheet optimisation, capital markets activity, financial modelling, and regulatory programmes.
You'll have the opportunity to work on high-profile initiatives including securitisation, behavioural modelling, Basel 3.1 preparations, ICAAP and ILAAP support, while helping shape the future capability of our Finance Coding, Data Analytics and Modelling Centre of Excellence.
Where You'll Work
Hybrid working with 3 days a week in our London office and 2 days from home.
Why Join Us?
Impact Use advanced analytics and AI to support critical financial and strategic decisions that influence the future direction of the Bank.
Innovation Work with emerging technologies, modern analytical tools, and innovative modelling techniques in an environment that encourages curiosity and continuous improvement.
Visibility Collaborate with senior stakeholders across Treasury, Finance, Risk and the wider business, presenting insights that shape strategy and investment decisions.
Growth Join a culture that champions development, learning and progression, giving you the opportunity to broaden both your technical and commercial expertise.
How You'll Make an Impact
- Lead advanced analytics projects that provide insight into financial performance, risk management and strategic opportunities.
- Develop innovative modelling and data science solutions supporting securitisation, balance sheet optimisation and behavioural analytics.
- Apply AI and machine learning techniques to enhance model development and balance sheet analytics.
- Drive automation and process improvement initiatives that improve efficiency, reporting and decision-making.
- Support major strategic programmes including ICAAP, ILAAP, Recovery Planning and Basel 3.1 readiness.
- Identify and implement new technologies and analytical methodologies that strengthen the Bank's data science capabilities.
- Partner with Finance, Treasury, Risk and Business teams to translate complex data into actionable business insights.
Requirements
- Proven experience in data science, analytics or quantitative modelling within financial services or banking.
- Strong Python and SQL skills, with the ability to manipulate, analyse and model complex datasets.
- Experience using data visualisation tools such as Power BI, Tableau or similar platforms.
- Expertise in statistical modelling, predictive analytics and data-driven decision-making.
- A degree (or equivalent experience) in Data Science, Statistics, Computer Science, Financial Mathematics or a related discipline.
- Excellent stakeholder management and communication skills, with the ability to explain complex concepts to non-technical audiences.
- A passion for innovation and solving complex business problems through data and analytics.
Benefits & conditions
- Competitive salary and annual bonus opportunity
- 28 days holiday, plus the option to buy up to 10 additional days
- Award-winning pension scheme
- Healthcare, life assurance and income protection
- Hybrid working model
- Learning and development opportunities
- Recognition programmes, lifestyle benefits and volunteering initiatives