At a Glance
- Tasks: Lead advanced analytics projects to optimise financial performance and drive strategic decisions.
- Company: Join Cynergy Bank, a forward-thinking institution at the intersection of finance and technology.
- Benefits: Enjoy competitive salary, bonus opportunities, hybrid working, and generous holiday allowance.
- Other info: Collaborative environment with excellent career growth and learning opportunities.
- Why this job: Shape the future of data science in finance and make a real impact on business value.
- Qualifications: Experience in data science, strong Python and SQL skills, and a passion for innovation.
The predicted salary is between 70000 - 90000 £ per year.
Apply for Finance Data Science & Analytics Manager at Cynergy Bank in London, ENG, GB.
This full-time on site position offers great opportunities for career growth.
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?
Reporting to the Head of Financial Risk Modelling, you will 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 will 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.
- 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.
- What You’ll Bring
- 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
- 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
- #J-18808-Ljbffr
Finance Data Science & Analytics Manager at Cynergy Bank in London employer: Cynergy Bank
Cynergy Bank is an excellent employer that values its employees by offering a competitive salary and a comprehensive benefits package, including 25 days of annual leave and a generous pension contribution. The work culture promotes collaboration and innovation, providing ample opportunities for professional growth and development in a dynamic London environment, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Science & Analytics Manager at Cynergy Bank in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Cynergy Bank.
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We think you need these skills to ace Finance Data Science & Analytics Manager at Cynergy Bank in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Cynergy Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cynergy Bank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Cynergy Bank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Cynergy Bank!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
