Senior data analyst

SCORIFY is a successfully growing company bringing cutting edge technologies based on big data analytics, artificial intelligence, and machine learning. Our solutions are being used by financial institutions, peer-to-peer lending platforms, telcos, and central banks. We are looking for a strong addition to the team who will join us in creating new AI models and services.

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Your responsibilities

  • Ownership of Data Reporting:
    • Own the data reporting process by conducting data analyses to identify trends, test hypotheses, support initiatives, and provide actionable insights.
    • Provide daily support, troubleshooting, and assistance with data queries and issues for team members and stakeholders, ensuring data integrity and reliability.
  • Data Reports Automatization:
    • Participate in the development and implementation of automated scripts for report generation.
    • Be responsible for the maintenance and care of automated reporting scripts.
      Monitor and troubleshoot any issues with the automation processes.
  • Data Engineering Tasks:
    • Assist senior data engineers in data engineering tasks, including data extraction, transformation, and loading (ETL).
    • Participate in data pipeline development and maintenance.
  • Credit Risk Analysis and Model Development:
    • Perform analysis related to credit risk and support the development and enhancement of credit risk models through data-driven insights.
    • Participate in the validation of credit risk models to ensure accuracy and reliability.

What we expect from you:

  • Proven experience as a Data Analyst or similar role.
  • Strong proficiency in SQL, Excel.
  • Experience with data visualizations.
  • Excellent analytical and problem-solving skills.
  • Strong attention to details and accuracy.
  • Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Big advantage if you have:

  • Experience with Python or R.
  • Experience in the financial services industry.
  • Familiarity with credit risk modeling and validation.
  • Knowledge of regulatory requirements for credit risk modeling.
  • Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field.

What you can expect from us:

  • Vast amounts of diverse data to torture.
  • Competitive salary and benefits package.
  • Opportunity to work with a talented and passionate team.
  • Professional development and growth opportunities.
  • A collaborative and innovative work environment.
  • The salary range for this position is € 3000 - € 4200 gross per month.

 

CV submission deadline is 2nd of August

Apply now

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