Data Analyst for LGD Data Automation, Methodology & Delivery (multiple seniority levels)

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profile Job Location:

Warsaw - Poland

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

The expected salary for:

- junior position:6 100 - 11 000 PLN

- specialist position: 7 100 - 14 500 PLN

- senior specialist position: 9 600 - 17 000 PLN

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

We are looking for you if you:

  • have University / Postgraduate degree (Masters degree)

  • are action oriented Business Insights Cultivates Innovation Collaborates Manages Complexity Tech Savvy

  • have experience with SQL

  • have basic knowledge of SAS

  • know dynamic programming

  • are good in understanding of Credit Risk modelling concepts

  • have personality and the capabilities to function effectively and independently even in complex high pressure situations

  • have strong analytical skills with the ability to translate complex data and information into actionable roadmaps and decision proposals

  • have ability to work in a team with a mindset that we help each other to be successful

  • have excellent level of English

Youll get extra points for:

  • experience with Python
  • good understanding of Financial Risk management
  • experience in leading the projects
  • you are curious proactive and analytical with a strong sense of ownership and drive for delivery.
  • you thrive in complex environments and are comfortable navigating ambiguity situations

Your responsibilities:

  • Play a key role in driving our automation ambitions for credit risk data with a focus on cashflow cover and asset data. This includes a clear mandate to continuously strive towards improvement of our applied methodologies and automation platform
  • Manage the end-to-end process from sourcing processing and manipulation quality assurance and delivery while taking a pro-active approach to constantly improve and further refine our core processes also across the domains of data operations automation and modelling
  • Maintain data requirements data quality frameworks and technical documentation to ensure regulatory compliance correctness and stability of our credit data processes
  • Driving the expansion of the number of automated systems of record and enhance processing efficiency
  • Take end-to-end ownership of data deliveries and collaborate with stakeholders throughout the remediation process with a strong delivery mindset
  • Apply machine learning and LLMs to our existing automation platform to further enhance quality of output data as well as providing explorative modelling environments

Information about the team:

As a Data Analyst within LGD Data Automation Methodology & Delivery team you will be responsible for sourcing processing automating analyzing and delivering high-quality credit data. This data is a key input for INGs global Wholesale Bank Credit Risk models (e.g. AIRB FIRB Feeder IFRS9) and supports various model lifecycle processes such as development recalibration and monitoring.

The LGD Data Automation Methodology & Delivery Product Group is taking full ownership for sourcing processing manipulating and delivering high quality LGD Data while being the driving force to develop and expand automation efforts as well as integrating innovation such as AI technology into INGs CR data processes.

The role naming convention in the global ING job architecture will be Data Scientist I Data Scientist II or Data Scientist III

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.


Required Experience:

IC

The expected salary for:- junior position:6 100 - 11 000 PLN- specialist position: 7 100 - 14 500 PLN- senior specialist position: 9 600 - 17 000 PLNThe financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.We are looking ...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

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