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Risk & Controls Senior Data Analyst

https://www.citi.com/ Logo

Citi

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Location:
Poland, Warsaw

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Category:
Finance

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Contract Type:
Employment contract

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Salary:

Not provided

Job Description:

Data Analysis in this area involves extracting, transforming, and analyzing data to identify risks, assess controls, and improve their robustness by implementing automated solutions. This role would suit an individual with both strong technical and business acumen in the Risk and Controls space.

Job Responsibility:

  • Support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance
  • Provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns on those through quarterly reports published to ICG senior management
  • Ability to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis
  • Hands-on experience in deriving concrete insight from data and qualifying business impact
  • Develop processes and tools to monitor and analyse model performance and data accuracy
  • Collaborate within IBQA teams and with QA Directors and provide them with analytics insights
  • Provide oversight and guidance over the assessment of complex data related issues, structure potential solutions and drive effective resolution with stakeholders.

Requirements:

  • Demonstrable experience of at least 6 years of data analytics, in innovation, modelling and analytics, internal audit, or similar functions at an investment or large commercial bank
  • Good grasp of Wholesale Credit Risk and Counterparty Credit Risk Processes and organizational awareness, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation
  • Excellent communication skills with the ability to effectively collaborate with stakeholders at all levels to elicit requirements and priorities
  • A logical and methodical mindset, strong analytical and problem-solving skills, with the ability to think critically, working with others to propose creative solutions
  • Leading the delivery of the areas of complex or judgmental QA work, including identifying issues, analysing multiple data points to draw informed conclusions and clearly articulate these conclusions in written and verbal form to senior stakeholders
  • Good interpersonal communication skills which will be required for both internal and external business partners
  • Experience in analysing datasets and distilling them into actionable information as well as building out end-to-end analytical process flows
  • Understanding of process redesign / re-engineering and execution
  • Strong skills in data analysis tools and programming languages (SQL, Python, R, Power BI, etc.)
  • Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solution
  • Experience working and manipulating large set of data
  • Creating clear and concise reports and visualizations to communicate findings to stakeholders
  • Bachelor’s or Master’s degree in Maths Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

Nice to have:

  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Programming language: Python, Java, C++
  • Visualization: Tableau
  • Qlikview
  • MS Power BI
  • Data Analysis: SQL
  • Python
  • SAS
  • R, Alteryx, Splunk.
What we offer:
  • Private Medical Care Program
  • Life Insurance Program
  • Pension Plan contribution (PPE Program)
  • Employee Assistance Program
  • Paid Parental Leave Program (maternity and paternity leave)
  • Sport Card
  • Holidays Allowance
  • Sport and team recreation activities
  • Special offers and discounts for employees
  • Access to an array of learning and development resources
  • A discretional annual performance related bonus.

Additional Information:

Job Posted:
August 13, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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