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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

21Open Positions

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Intern - Quantitative Analyst or Data Engineer at RiskHub Warsaw

ING
Found 1 month ago
Location
Warsaw, Poland
Duration (Months)
4 Months
Time
Full-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • statistical modelling
  • data science
  • financial engineering
  • programmers skills
  • statistical programming
  • SAS
  • Python
  • R
  • SQL
  • data processing
  • credit risk models
  • market risk models

Soft Skills

  • analytical skills
  • problem-solving skills
  • communication skills
  • execution skills
  • independent mind-set
  • creative mind-set
  • pro-active mind-set
  • team player
  • willingness and ability to learn quickly and effectively

Job Description

During the 4 months at ING Hubs Poland in Risk Hub you will get a chance to work with experienced modelers and data scientists from Warsaw and Amsterdam. You will be working on projects of models development, regulations and data processing. At the end of the program you will share your results with the team. The best of students will be offered with a work contract.

Requirements

  • You are a 3rd, 4th or 5th year student or graduate in the field of Econometrics, Economics, Statistics, Mathematics, Physics, Data Science or similar
  • You have knowledge of statistical modelling, data science or financial engineering or you’ve got strong programmers skills
  • You have experience with statistical programming (SAS, Python or R) or you’ve got experience with using SQL
  • You have strong analytical, problem-solving, communication and execution skills, an independent, creative and pro-active mind-set and you are a team player
  • You have willingness and ability to learn quickly and effectively
  • You have good written and spoken English (at least B2 level)
  • You will be available in June-September 2026

Related Field

  • Quantitative Finance

Related Subfield

  • Quantitative Analysis

Languages

  • English

Nice to Haves

  • Basic knowledge of credit risk (PD, LGD, EAD)
  • Basic knowledge of market risk (VaR, Black Scholes, Monte Carlo)
  • Basic knowledge of data processing (ETL, SQL, Hadoop)
  • Basic knowledge of data structures
  • Basic knowledge of database solutions
  • Basic knowledge of data warehouse solutions
▶Apply Now

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