Quantitative Risk Analyst ERM

Job description

Company Description

Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide.

As part of Groupe BPCE’s international division, Natixis in Portugal designs and delivers solutions for its two core areas – Corporate & Investment Banking and Asset & Wealth Management – as well as transversal services that support all entities across the Group.

With more than 3,000 employees representing 46 nationalities, the teams work across Information Technology, Banking Support Activities, and Compliance, in an integrated, inclusive, and cross-functional way, supporting all business lines and platforms of the Group.

A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company’s mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem.

Job Description

Team presentation and main goal:

Within the Risk Management department, the “Enterprise Risk Management” (ERM) team is responsible for defining and developing all risk models, including:

  • Market, Credit, Counterparty, and Operational Risks
  • IFRS9 Provisions
  • Fair Value Adjustments and AVA
  • Stress Tests
  • Economic Capital

Main tasks and goals:

As a Quantitative Risk Analyst, you will be tasked with monitoring the performance of risk measurement methodologies and models (Credit, Market, and Counterparty) in a dynamic international environment, fostering constant exchanges with Risk Experts and the Front Office.

In your daily responsibilities, you will be required to:

  • Monitor the performance of internal models in compliance with procedures established by ERM Paris and supervisory guidelines.
  • Optimize analysis tools and methods to ensure increased efficiency in model monitoring, particularly through regular backtesting exercises.
  • Present performance monitoring results during model oversight committees (Model Ongoing Monitoring) both within GFS and at the BPCE Group level.
  • Ensure the updating of procedures and coordinate the review of backtesting results with Validation teams, in collaboration with quantitative analysts based in Paris.
  • Perform necessary calibrations following the conclusions of backtesting exercises.

You will work in an international environment, within a community of experts who prioritize excellence, impact, and collective action in everything they undertake.

Qualifications

  • Higher education degree (Master’s/PhD or equivalent) in statistics and mathematics; engineering school or equivalent university with a specialization in Data Science)
  • +2 of Experience in Risk ( focusing on technical and regulatory aspects in the banking sector - preferably in Investment Banking) and/or consulting.
  • Advanced knowledge of Mathematics, statistics, and econometrics, complemented by excellent knowledge of SAS, Python, and C++ (will be a plus)
  • Fluency in English (mandatory)
  • Knowledge of banking operations (such as financing products or market products)
  • Knowledge of Regulatory requirements (EBA guidelines, CRR3, CRR4, etc.)
  • Advanced knowledge of Excel; Power BI; Pivot
  • Strong analytical skills, rigor, excellent written and oral presentation abilities, and autonomy
  • Great interpersonal skills that facilitate communication and presentation of work results to decision-makers, along with strong listening abilities

We will only consider English CV’s.

Additional Information

Our workplace reflects the vibrant spirit of our locations, with initiatives such as a Green Transportation Budget, electric bikes and a flexible Hybrid Work Policy. We promote wellbeing through the Honolulu Wellness Club, a Prayer Room, a Lactation Room, and themed Villages that inspire creativity and collaboration. Through our ESG and DEI strategies, we are committed to being inclusive, caring, and fair, ensuring every voice is heard and valued.

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