At a Glance
- Tasks: Lead the analytics function and build core data infrastructure for strategic insights.
- Company: Join OpenFX, a fintech startup revolutionising cross-border payments.
- Benefits: Competitive salary, equity, and a collaborative work culture focused on growth.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make a real impact on global financial systems in a fast-paced environment.
- Qualifications: 6+ years in analytics, strong Python and SQL skills, and a relevant degree.
The predicted salary is between 80000 - 100000 £ per year.
About Us
Open FX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems.
We are building the infrastructure that will power the next generation of cross-border payment systems for institutions.
The team's execution has been exceptional, and we're scaling at a remarkable pace.
Our stellar early team comes with experience in companies like J.
Morgan, Goldman Sachs, Falcon X, Paypal, Affirm, Polygon, Kraken, Nium & others.
We’re backed by Accel, Lightspeed, Nf X and other top-tier investors.
Role Overview
We are seeking a talented
Data Science & Analytics Lead to build and lead our analytics function from the ground up.
This role is crucial for establishing our core data infrastructure and delivering actionable insights across all teams to power strategic decision-making and drive business growth.
Key Responsibilities
Data Infrastructure & Governance
- Design and implement our core analytics infrastructure, including data warehousing, ETL processes, and visualization tools.
- Establish data quality standards, automate routine reporting, and create self-service analytics tools to ensure data accuracy and accessibility.
Business Intelligence & Insights
- Create and maintain dashboards for key business metrics across operations, finance, partnerships, and growth teams.
- Develop comprehensive analytics for transaction monitoring, liquidity optimization, platform performance, and revenue forecasting.
- Analyze user behavior and transaction patterns to drive growth strategies.
Risk & Financial Analytics
- Build analytics models for pricing optimization and financial planning.
- Create risk monitoring systems and fraud detection analytics to ensure platform security.
Strategic Partnership & Team Leadership
- Partner with leadership to provide data-driven insights for strategic decision-making.
- Build, manage, and mentor a high-performing team of analysts as the organization scales.
- What we are looking for
Must-haves
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- 6+ years of experience in analytics or data science roles.
- Strong programming skills in Python and SQL.
- Experience with modern data stack tools (e. g., Snowflake, dbt, Airflow).
- Proven experience building and maintaining large-scale data pipelines.
- Excellent communication skills with the ability to present complex data to non-technical stakeholders.
- Strong problem-solving skills and meticulous attention to detail.
What helps you stand out
- A Master's degree in a relevant field.
- Experience in a fintech or financial services environment.
- Direct experience with crypto/blockchain analytics.
- Startup experience is highly preferred.
- Expertise with data visualization tools like Tableau or Looker.
What We Offer
- Competitive salary and benefits package.
- Equity in a rapidly growing company.
- Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
- Opportunity to make a significant impact on global financial infrastructure
- Collaborative work culture with emphasis on personal and professional growth.
We are committed to building a diverse and inclusive workplace.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Data Science & Analytics Lead in London employer: OpenFX
OpenFX is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration. As a Product Manager in London, you'll be at the forefront of cross-border payment solutions, with ample opportunities for professional growth and direct impact on revenue through currency expansion. Join a high-calibre team backed by top-tier investors, where your contributions will shape the future of financial infrastructure in Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science & Analytics Lead in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like OpenFX!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science & Analytics Lead at OpenFX.
✨Leverage Professional Networks
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 OpenFX.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science & Analytics Lead at OpenFX, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science & Analytics Lead 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 OpenFX, 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 OpenFX. 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 OpenFX
✨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 OpenFX!
✨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.
