Job type: 100%, CDI, Temps de travail : 90-100%

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Job content

Critères de l’offre

Description du poste

Do you have a proven record of driving lasting business impact by developing state-of-the-art quantitative models, applications and strategies? Are you an expert of the market, client needs and best practice application of trading, investment, and risk processes?

At UBS, we re-imagine the way we work, the way we connect with each other - our colleagues, clients and partners - and the way we deliver value. Being agile will make us more responsive, more adaptable, and ultimately more innovative.

We’re looking for a quantitative analyst and regulatory expert to:
  • research, design, and implement platforms, analytics, business logic, and models that are quantitative or technically specialized in nature
  • support and ensure compliance with ongoing regulatory initiatives
  • collaborate with other quantitative analysts to share insights and develop global analysis frameworks and work closely with cross-functional team members to improve (digital) products and journeys iteratively and continuously
  • ensure escalation and disclosure of any information of which applicable regulators would reasonably expect notice
  • observe proper standards of market conduct including paying due regard to interests of customers and treating them fairly
  • ensure adherence to applicable regulations and internal policies via effective supervision and oversight with reference to the Principles of Good Supervision when supervising other members of staff
  • understand, represent, and advocate for client needs
Description du profil

  • ideally 3 or more years of credit risk modelling experience within the finance sector, utilizing stochastic calculus
  • previous exposure to (credit) risk related regulatory initiatives
  • proficient in programming skills (SQL, Python, R)
  • capable of documenting any model development in a clear way
  • self-driven, organized and detail-oriented with a solid understanding of banking industry
  • a Master’s or PhD degree in quantitative discipline
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Deadline: 24-04-2024

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