Data scientist finance Work, Jobs in London (with Salaries)

Finance Data Science & Analytics Manager
Cynergy Bank —London
- £85,000 a year
- Hybrid work
- SQL
- Machine learning
- No degree
Financial Risk Analytics – Senior Product Analyst
S&P Global —London
- Hybrid work
- Azure
- SQL
- AWS
- Annual leave
- Employee discount
1d
Staff Analyst, GTM Analytics
Snowflake —London
- Sales
- SQL
- Presentation skills
Staff Data Analyst
Lokalise —London
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
- Flexible schedule
Quick apply
12d
Senior AI Engineer (AI Factory), Manager – Financial Services, AI Scaling and Transformation, Technology & Transformation
Deloitte —London
- Hybrid work
- Azure
- Computer Science
- Master's degree
2026 Machine Learning Center of Excellence Summer Associate - Time Series & Reinforcement Learning Internship - (6 months)
JPMorganChase —London
- Full-time
- Doctoral degree
- Maths
- Machine learning
11d
Senior Manager, Insurance, AI Delivery Lead, Engineering AI & Data, Technology and Transformation
Deloitte —London
- Hybrid work
- Java
- Project management
- Agile
Senior Analytics Manager - Credit Risk
Wise —London
- £105,000 - £150,000 a year
- Full-time
- Hybrid work
- SQL
- Annual leave
Quick apply
6d
Associate Director, AI Delivery Lead, Financial Services, Technology & Transformation
Deloitte —London
- Hybrid work
- Azure
- Computer Science
- PMP
Data Analyst
Skanska —Gravesend
- Data analysis skills
- SQL
- Bachelor's degree
- Bereavement leave
18h
Data Scientist
Jupiter Asset Management —London
- Full-time
- Hybrid work
- Azure
- SQL
- Machine learning
Data Analyst/Engineer
Chartered Insurance Institute —London
- Up to £75,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
1d
Data Science Manager (Credit)
Moniepoint —London
- SQL
- Machine learning
- Financial services
1d
Senior Analytics Manager - Credit Risk
Wise Australia Investments —London
- £105,000 - £150,000 a year
- Hybrid work
- SQL
- Annual leave
9d
Market Analyst - Power Trading Analytics
Genscape, Inc. —London
- Full-time
- Computer Science
- Engineering
- English
Quick apply
8d

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Financial Risk Analytics – Senior Product Analyst
S&P Global —London
Financial Risk Analytics provides products and solutions to financial institutions to measure and manage their market risk, counterparty credit risk, regulatory…
1d
Senior Investment Risk Analyst
Janus Henderson —London
Respond to client and internal stakeholder queries, articulating portfolio risk and performance drivers in a clear and investment-relevant manner.

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Finance Data Science & Analytics Manager

Cynergy Bank -
London

Apply Now

Job details

£85,000 a year

Benefits

Company pension

Qualifications

Power BI
Tableau
SQL
Statistical analysis
Machine learning
Predictive analytics
Data science
Data visualisation
Communication skills
Banking
Python

Full 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.

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.

How We Will Support You

At Cynergy Bank, we are committed to your wellbeing and success. Our benefits include:

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

Who Are We?

Cynergy Bank is the UK's human digital bank, combining relationship-led service with innovative technology to support ambitious businesses and individuals. Since 2018, we have lent over £4bn to scaling businesses and continue to challenge traditional banking through innovation, agility and exceptional customer service. Our award-winning approach is built around empowering customers, supporting growth and doing the right thing.

Apply now and help shape the future of financial analytics, data science and innovation at Cynergy Bank.

Apply Now

Refine Your Search

data scientist finance jobs in london

Finance Data Science & Analytics Manager

Financial Risk Analytics – Senior Product Analyst

Staff Analyst, GTM Analytics

Staff Data Analyst

Senior AI Engineer (AI Factory), Manager – Financial Services, AI Scaling and Transformation, Technology & Transformation

2026 Machine Learning Center of Excellence Summer Associate - Time Series & Reinforcement Learning Internship - (6 months)

Senior Manager, Insurance, AI Delivery Lead, Engineering AI & Data, Technology and Transformation

Senior Analytics Manager - Credit Risk

Associate Director, AI Delivery Lead, Financial Services, Technology & Transformation

Data Analyst

Data Scientist

Data Analyst/Engineer

Data Science Manager (Credit)

Senior Analytics Manager - Credit Risk

Market Analyst - Power Trading Analytics

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