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.