Intern - Quantitative Analyst or Data Engineer at RiskHub Warsaw (Risk Hub Summer Internship Programme)

3 tygodni temu


Warsaw, Polska ING Pełny etat

We are looking for you, if you:

  • are a 3rd, 4th or 5th year student or a graduate in the field of Econometrics, Economics, Statistics, Mathematics, Physics, Data Science, or similar,

  • have knowledge of statistical modelling, data science or financial engineering or you have strong programming skills,

  • have experience with statistical programming (SAS, Python or R) or you have experience with SQL,

  • have strong analytical, problem-solving, communication and execution skills, an independent, creative and pro-active mindset, and you are a team player,

  • have willingness and ability to learn quickly and effectively,

  • have good written and spoken English (at least B2 level),

  • will be available during summer of 2024.

You'll get extra points for basic knowledge of:

  • credit risk (PD, LGD, EAD),

  • market risk (VaR, Black-Scholes, Monte Carlo),

  • data processing (ETL, SQL, Hadoop),

  • data structures,

  • database solutions,

  • data warehouse solutions.

Your responsibilities:

  • data processing, model development or model validation,

  • gaining knowledge and experience in the credit or market risk models,

  • interact with your team, stakeholders, an allocated buddy and mentor.

Information about the Risk Hub Summer Internship Programme:

During a recruitment process, you will be allocated to one of the domains: data processing, model development or model validation. Within those domains, you will be allocated to one of the tribes: credit risk, market risk, trading,

During the 4 months at ING Hubs Poland you will get a chance to work with experienced modellers, validators, and data scientists from Warsaw and Amsterdam,

You will be working on projects of model development, regulations, validation or data processing. At the end of the program, you will share your results with the team. The best interns will receive a work contract.



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