Senior Credit Risk Data Analyst

About us:

Stafide is the premier destination for tech talent consulting providing comprehensive employment services throughout Europe. Our mission is straightforward: to effortlessly connect job seekers with employers focusing on the rapidly changing technology sector. Boasting unparalleled expertise and a steadfast commitment we specialize in aligning elite tech talent with companies to meet their IT consulting requirements precisely. Be part of our journey as we redefine the landscape of tech recruitment.

As a Senior Credit Risk Data Analyst you will:

• Proactively align regulatory data requirements and gather necessary data for modeling Probability of Default Loss Given Default and Exposure at Default.
  
• Support monitoring backtesting and regulatory tasks related to legacy models in production.
  
• Identify and resolve data quality issues aiding in the remediation of historical data quality problems.
  

What You Bring to the Table:

• Strong analytical and conceptual skills with expertise in MS SQL and PySpark.
  
• Ability to translate SQL code into business rules and vice versa.
  
• Experience in banking and credit risk including knowledge of financial and risk reporting.
  
• Knowledge of data modeling methodologies for data warehouses and data marts.
  
• Excellent English communication skills both written and spoken.
  

You should possess the ability to:

• Clearly understand data requests from modelers and determine the sources from which data can be derived.
  
• Drive the ETL (Extract Transform Load) process to ensure data is properly prepared for analysis.
  
• Translate data requests into code combining multiple sources and performing data quality checks.
  
• Collaborate with data scientists to ensure data sets are suitable for their intended purposes.
  
• Translate existing SQL code into business rules and conduct impact analysis to assess business rules.
  
  

What We Bring to the Table:

• A collaborative and innovative workplace that encourages creativity and supports professional growth.
  
• Opportunities to lead and implement cuttingedge technology solutions in a robust environment.
  
• Competitive compensation and benefits with opportunities for career advancement and continuous learning.
  
• A dynamic team environment where your skills and expertise will be valued and where you can make a significant impact on our technological direction.
  
  

About us: Stafide is the premier destination for tech talent consulting, providing comprehensive employment services throughout Europe. Our mission is straightforward: to effortlessly connect job seekers with employers, focusing on the rapidly changing technology sector. Boasting unparalleled expertise and a steadfast commitment, we specialize in aligning elite tech talent with companies to meet their IT consulting requirements precisely. Be part of our journey as we redefine the landscape of tech recruitment. As a Senior Credit Risk Data Analyst, you will: Proactively align regulatory data requirements and gather necessary data for modeling Probability of Default, Loss Given Default, and Exposure at Default. Support monitoring, back-testing, and regulatory tasks related to legacy models in production. Identify and resolve data quality issues, aiding in the remediation of historical data quality problems. What You Bring to the Table: Strong analytical and conceptual skills, with expertise in MS SQL and PySpark. Ability to translate SQL code into business rules and vice versa. Experience in banking and credit risk, including knowledge of financial and risk reporting. Knowledge of data modeling methodologies for data warehouses and data marts. Excellent English communication skills, both written and spoken. You should possess the ability to: Clearly understand data requests from modelers and determine the sources from which data can be derived. Drive the ETL (Extract, Transform, Load) process to ensure data is properly prepared for analysis. Translate data requests into code, combining multiple sources and performing data quality checks. Collaborate with data scientists to ensure data sets are suitable for their intended purposes. Translate existing SQL code into business rules and conduct impact analysis to assess business rules. What We Bring to the Table: A collaborative and innovative workplace that encourages creativity and supports professional growth. Opportunities to lead and implement cutting-edge technology solutions in a robust environment. Competitive compensation and benefits, with opportunities for career advancement and continuous learning. A dynamic team environment where your skills and expertise will be valued and where you can make a significant impact on our technological direction.