Data Analyst (Python)
Overview
LRH is on a mission to create a truly data-driven repo market. Backed by the Kaizen RegTech Group, our startup works with the world’s leading banks, asset managers and hedge funds to develop a pioneering data solution designed to enhance trading activities in the ’23 trillion UK and European repo markets. Our innovation provides these financial institutions with an unprecedented perspective on market dynamics.
https://londonreportinghouse.com
Job Summary:
We are seeking a motivated and detail-oriented Data Analyst to join our team starting immediately! This is an excellent opportunity for a recent graduate or someone early in their career to gain hands-on experience in data analysis and contribute to our data-driven decision-making processes. You will work closely with our data and engineering teams, and subject matter experts to analyse data, generate insights, and support various business functions. The role is on-site and you will be exposed to the business side of the organisation, as well as having an opportunity to get in front of clients and partners (quite a rare opportunity in the industry).
Key Activities and Responsibilities:
- Collect, clean, and preprocess data from various sources.
- Perform exploratory analyses on financial data from real trades.
- Generate reports and visualisations to communicate findings to clients and stakeholders.
- Assist in the development and maintenance of dashboards and data tools.
- Cross-company collaboration to support data-driven projects and initiatives.
- Ensure data quality and integrity throughout.
Experience and Qualifications:
- Bachelor’s degree with a quantitative component (e.g. Data Science, Statistics, Computer Science, Mathematics, Economics, Physics etc.), or equivalent experience.
- Proficiency in data analysis tools and languages (e.g. Python, R, SQL).
- Experience producing meaningful, informative data visualisations
- Strong analytical and problem-solving skills.
- Excellent attention to detail and organisational skills.
- Good communication and teamwork abilities.
- Eagerness to learn and adapt in a fast-paced fintech startup environment.
Nice-to-haves:
- Internship or project experience in data modelling and analysis.
- Knowledge of statistical methods and techniques.
- Familiarity with cloud platforms (e.g. AWS, Google Cloud, Azure).
- Familiarity with business intelligence tools (e.g. Quicksight, Tableau, Power BI).
- Understanding of machine learning concepts.
- Interest in GenAI and its applications.
- Experience with version control systems (e.g. Git).
- Knowledge of the financial markets would be an asset.
What you’ll get in return:
- A competitive salary package.
- Office in the heart of The City: 5-minute walking distance from Bank, Cannon Street and St. Paul's stations.
- Access to additional office space in London’s iconic Gherkin 5 minutes from Liverpool Street Station.
- 25 days’ holiday ‘, as well as UK bank holidays.
- Well-being allowance.
- Build-your-skills allowance.
- Private healthcare ” + dental.
- Working within a fast-growing company that has a culture of empowerment, innovation and collaboration.
- Awesome team of financial markets experts, data analysts and engineers.
- Opportunity to play a key role in an exciting startup backed by the Kaizen RegTech Group.
- Opportunities for continuous career growth and learning.
