At a Glance
- Tasks: Lead the design and implementation of innovative FinTech SaaS applications.
- Company: Join BMLL, a leading provider of financial data analytics with a collaborative culture.
- Benefits: Enjoy competitive salary, 25 days holiday, remote work options, and wellness budget.
- Other info: Inclusive environment with excellent career growth and regular team socials.
- Why this job: Make an impact in the FinTech space while working with cutting-edge technology.
- Qualifications: Proven experience in Python, SaaS development, and strong problem-solving skills.
The predicted salary is between 70000 - 90000 £ per year.
About BMLL:
BMLL is the leading independent provider of harmonised Level 3, 2 and 1 historical data and analytics across global equities, ETFs, futures and US equity options. We provide market participants with immediate access to granular T+1 order book data and advanced analytics, enabling them to accelerate research, optimise trading strategies, and better understand market behaviour. BMLL was acquired in 2025 by Nordic Capital, alongside minority shareholder Optiver, marking a joint commitment to accelerate the company’s next phase of growth. We offer an inclusive and collaborative culture, a hybrid working environment that includes regular days in our London office, weekly team lunches, and a variety of out-of-hours social activities.
About the Role:
This is a unique opportunity to build industry-leading technology, drive innovation and influence the direction of our company. The BMLL Lab & Vantage products are the market leading applications for data science and data visualisation on the largest financial datasets. This role involves working in a team of Python & Typescript engineers, alongside the SaaS applications Product Owner. As a senior engineer you will take the lead on design and implementation of new features.
Key Responsibilities:
- Partner closely with Product Owner in translating complex requirements into clear, actionable engineering tasks.
- Contribute to the application design and development, with effective strategies for testability and product quality.
- Ensure the architecture of the system aligns with best practice and meets the goals for scalability, reliability & security.
- Provide mentorship to junior engineers.
Leadership: Proven experience in designing solutions in a fast-paced agile environment.
SaaS: Expertise in developing single-tenant and multi-tenant B2B SaaS applications with REST APIs and distributed microservices.
FinTech: Experience in delivering SaaS applications into front-office capital markets.
Design: Proficient in architecture design using AWS services such as Cognito, Lambda, Fargate, API Gateway, Terraform.
Data Skills: Experience in data science and financial data visualisation applications in Typescript.
Problem Solving: Strong analytical and troubleshooting skills.
Communication: Excellent communication skills to interact effectively with development teams and product managers.
Desirable Skills:
- Excellent communication skills, with the ability to communicate fluently with both technical and non-technical audiences.
- Experience with data science tools, e.g. one or more of Spark, pandas, DuckDB, DataBricks, Snowflake.
- Knowledge of agile development and continuous delivery methodologies.
Benefits:
- Competitive salary
- 25 days holiday plus bank holidays
- Discretionary Bonus
- Pension Scheme
- Private Medical Insurance
- Work remotely abroad for up to 40 business days each year
- Life Insurance
- Childcare Nursery Scheme
- Combination of remote and London-based office working, with 2 days in the office per week.
- A yearly Well-being Physical Activity budget
- Continuous learning through funded training and challenging projects
- Collaborative culture
- Weekly team lunches
- Free Fruit, snacks, and drinks provided throughout the day (When office-based)
- Regular Team Socials
- Cycle to Work Scheme
We are an inclusive employer and welcome applicants from all backgrounds. We pride ourselves on our commitment to Equality and Diversity. We are committed to removing barriers throughout our hiring process. If you have any special requirements or require reasonable adjustments to help you access career opportunities at BMLL, please do let us know at careers@bmlltech.com.
Senior Python Engineer - FinTech SaaS & Data Viz employer: BMLL Technologies
BMLL is an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation. With a hybrid working model based in London, employees enjoy competitive benefits such as a generous holiday allowance, private medical insurance, and continuous learning opportunities, all while contributing to cutting-edge FinTech solutions. The company prioritises employee well-being and development, making it an ideal place for those seeking meaningful and rewarding careers in technology.
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We think this is how you could land Senior Python Engineer - FinTech SaaS & Data Viz
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We think you need these skills to ace Senior Python Engineer - FinTech SaaS & Data Viz
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BMLL Technologies. 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 BMLL Technologies
✨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!
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✨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 BMLL Technologies!
✨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.
