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*Company Overview:* Verityv is an innovative fast-growing Fintech start-up based in London and Cyprus, revolutionizing the way Non-traditional financial risks are delivered to the market. We are dedicated to leveraging cutting-edge machine learning and artificial intelligence technologies to evolve our product into an agentic AI system that seamlessly integrates into clients' systems, automating compliance and portfolio risk analysis processes.
*Job Summary:* We are seeking a Senior Data Engineer with 3-5 years of experience in building and maintaining robust data pipelines for our SaaS platform, ensuring high-quality data is available for analysis and decision-making. You will work closely with cross-functional teams to support data-driven initiatives and contribute to the development of innovative solutions.
*Responsibilities:*
* *Web Crawling and Data Extraction:*
* Develop, deploy, and maintain web crawlers using Python to extract data from websites and social media platforms.
* Ensure the scalability, reliability, and efficiency of web scraping processes.
* *Data Cleaning and Preprocessing:*
* Perform data cleaning, standardization, and normalization to ensure data quality and consistency.
* Handle missing data, outliers, and inconsistencies in large datasets.
* *Data Analysis and Modeling:*
* Analyze extracted data using advanced statistical and machine learning models.
* Collaborate with data scientists to implement state-of-the-art models for predictive and prescriptive analytics.
* *Financial Data Expertise:*
* Leverage past experience in financial data analysis to provide insights and support decision-making processes.
* Work with financial datasets to identify trends, patterns, and anomalies.
* *Data Pipeline Development:*
* Design and maintain ETL (Extract, Transform, Load) pipelines to streamline data workflows.
* Integrate data from multiple sources and ensure seamless data flow across systems.
* *Collaboration and Communication:*
* Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders.
* Communicate findings and insights effectively through visualizations, reports, and presentations.
*Requirements:*
* Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
* 3-5 years of experience as a Data Engineer or in a similar role
· Proficiency in Python for web crawling (e.g., using libraries like Scrapy, BeautifulSoup, or Selenium).
* Strong knowledge of data cleaning, standardization, and normalization techniques
· Experience with data analysis and modeling using libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow.
· Familiarity with SQL and database management systems (e.g., PostgreSQL, MySQL).
· Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data tools (e.g., Spark, Hadoop) is a plus.
· Prior experience in financial data analysis is highly preferred.
· Understanding financial datasets, metrics, and industry trends.
*Preferred Qualifications:*
· Experience with API integrations and working with RESTful APIs.
· Knowledge of data visualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn).
· Familiarity with version control systems (e.g., Git).
· Experience with containerization tools (e.g., Docker, Kubernetes).
· Past experiences working in Fintech, Financial Services or related industries.
*What We Offer:*
· Competitive salary and benefits package.
· Opportunities for professional growth and development.
· A collaborative and innovative work environment.
· The chance to work on cutting-edge projects with a talented team.
*How to Apply:* Please submit your resume, cover letter, and any relevant portfolio or GitHub links to eric@verityv.com. We are excited to hear from you!
Job Types: Full-time, Permanent
Pay: £40,000.00-£80,000.00 per year
Benefits:
* Company events
* Employee stock ownership plan
* Free or subsidised travel
* Housing allowance
Ability to commute/relocate:
* South Kensington SW7 4NG: reliably commute or plan to relocate before starting work (required)
Education:
* Bachelor's (required)
Work Location: In person
Sprachkenntnisse
- English
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