LRH16 Data Analyst

London

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Cybernetic Controls Limited

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LRH16 Data Analyst

Department: Data

Employment Type: Full Time

Location: London

Reporting To: Chief Technology Officer


Description

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://www.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 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.


Skills, Knowledge and Expertise

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


Benefits

  • A competitive salary package
  • Office in the heart of The City: 5-minute walking distance from Bank, Cannon Street and St. Paul's station
  • 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

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  28  9  0
Category: Analyst Jobs

Tags: AWS Azure Business Intelligence Computer Science Data analysis Data quality Economics Engineering FinTech GCP Generative AI Git Google Cloud Machine Learning Mathematics Physics Power BI Python QuickSight R SQL Statistics Tableau

Perks/benefits: Career development Competitive pay Startup environment

Region: Europe
Country: United Kingdom

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