Medior/Senior Quantitative Analyst

2 tygodni temu

Warszawa, Mazovia, Polska ING Pełny etat

Are you ready to take the next step in your career within model validation? We have exciting news Join our new team in Warsaw.

At our company, we value curious individuals with a proactive mindset. We encourage continuous learning, taking initiative, and improving processes. In return, we offer opportunities for professional development and career advancement at ING.

If you have the following qualifications, we want to hear from you:

  • Quantitative background (MSc or PhD) in fields like Econometrics, Mathematics, or Statistics.
  • Strong knowledge of financial engineering, mathematics, econometrics, and probability theory.
  • Minimum of 3 years experience in quantitative model validation or development within the financial sector.
  • Effective communication skills in English, both written and verbal.
  • Ability to identify issues, analyze data, and provide solutions.
  • Experience in mentoring and giving feedback to team members.
  • Team player with a focus on collective success.

English proficiency level required: C1

Additional qualifications that will be a plus:

  • Research-oriented mindset.
  • Proficiency in Python and/or C++.
  • Certifications such as FRM, PRM, or CQF.

Your main responsibilities will include:

  • Validating pricing models, analyzing their suitability, and developing alternative models.
  • Leading validation projects and guiding junior team members.
  • Collaborating with model stakeholders to ensure alignment.
  • Developing tools for automation of validation processes.
  • Producing high-quality validation reports and presenting findings.
  • Conducting ad-hoc analyses as needed.
  • Staying informed about the latest pricing model developments.

About the team:

The Trading Risk Model Validation Tribe consists of 40 experts in Amsterdam and Warsaw. Our Warsaw team comprises 14 validators working closely with other chapters. We are part of ING's global Model Risk Management department, focusing on validating market risk and valuation models for trading books. Our goal is to ensure models are suitable for their purpose, complying with regulations and best practices while promoting a collaborative and inclusive work environment.

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