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Quantitative Risk Analyst - ERM

Company Description

Natixis is a French multinational financial services firm specialized in asset & wealth management, corporate & investment banking, insurance and payments. A subsidiary of Groupe BPCE, the second-largest banking group in France through its two retail banking networks, Banque Populaire and Caisse d’Epargne, Natixis counts nearly 16,000 employees across 38 countries.

As Natixis Innovation Hub, Natixis in Portugal mission is to transform traditional banking by developing innovative solutions for the bank’s business, operations and work culture, being a key driver of the company’s culture of agility and innovation. Teams of IT and Banking Support Activities work in an integrated, inclusive and transversal way, supporting all the business lines and country platforms.

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

Early morning. Campo 24 de Agosto. In 4 minutes, you are clocking in at the office. After grabbing a cup of coffee and fresh fruit, pick up your laptop and choose your spot for the day. It's going to be a busy one: French class before lunch and, just after, quick medical appointment at Natixis doctor's office. Lunch break. Outside in the big terrace (look at your crops at the Urban Garden; ready to harvest!) or, if you feel like stretching your legs, walk downtown to grab lunch. 

Back inside. Quick sprint review (working together anywhere means virtual happy birthday to that colleague in Paris that just turned 35). The afternoon went flying (tasks, reports, calls, some jokes with your teammates). End it on a high note: just one PlayStation game or the final match for that ping-pong tournament. 

Tomorrow, you complete that certified technical training and the day after, you will work from home, taking advantage to finally do that online course on Udemy. Once you are done with your tasks for the day, you can visit the office for a board games session or show up at the rehearsal of one of Natixis bands. If that is too steady for you, meet your colleagues to surf some waves or join them in a football match.

Average salary estimate

$60000 / YEARLY (est.)
min
max
$50000K
$70000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Quantitative Risk Analyst - ERM, Natixis

If you're ready to dive into the world of finance as a Quantitative Risk Analyst at Natixis, based in the beautiful city of Porto, Portugal, then this opportunity could be perfect for you. At Natixis, a prestigious financial services firm, you'll become part of the Enterprise Risk Management (ERM) team, responsible for crafting top-notch risk models that cover everything from Market and Credit to Operational Risks. With an emphasis on innovation and agility, you'll enjoy working in a collaborative environment alongside experts who are just as passionate about risk management as you are. Your role will ensure that our risk measurement methodologies meet both internal standards and supervisory guidelines, helping to optimize our processes through meticulous backtesting exercises. Plus, you'll have the chance to present your findings in oversight committees, making your contributions visible at every level of the organization. With a strong focus on continuous improvement, you'll work closely with quantitative analysts in Paris, ensuring that our models and procedures are always at the cutting edge of the industry. This position is not just about numbers – it's about making an impact and being part of a team that drives change within the banking sector. Bring your advanced knowledge of mathematics, statistics, and econometrics, alongside your technical skills in languages like SAS and Python, and immerse yourself in an international community where every day brings new challenges and opportunities for growth. If you're excited about risk and are eager to contribute to a vibrant workplace culture, come join us at Natixis and make a difference in the world of finance!

Frequently Asked Questions (FAQs) for Quantitative Risk Analyst - ERM Role at Natixis
What are the key responsibilities of a Quantitative Risk Analyst at Natixis?

As a Quantitative Risk Analyst at Natixis, your main responsibilities will include monitoring the performance of risk models for Credit, Market, and Counterparty risks, optimizing analysis tools for efficiency, and presenting performance results in committees. You'll also coordinate with the Validation teams to ensure accurate calibration and backtesting.

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What qualifications do I need to become a Quantitative Risk Analyst at Natixis?

To qualify for the Quantitative Risk Analyst position at Natixis, you should have a Master's or PhD in statistics, mathematics, or a related field, along with at least two years of experience in risk analytics, preferably in investment banking. Knowledge of regulatory requirements and proficiency in tools like SAS, Python, and Excel are also essential.

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What technical skills are important for a Quantitative Risk Analyst at Natixis?

A successful Quantitative Risk Analyst at Natixis should possess advanced mathematical, statistical, and econometric skills. Familiarity with programming languages such as SAS and Python, as well as data visualization tools like Power BI, will be crucial for optimizing risk measurement methodologies.

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How does Natixis support professional development for Quantitative Risk Analysts?

At Natixis, you'll find a strong focus on professional development for Quantitative Risk Analysts. The company offers access to certified technical trainings, online courses, and the opportunity to collaborate with international teams, ensuring that you continually advance your skills and expertise.

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What is the work environment like for a Quantitative Risk Analyst at Natixis in Porto?

Working as a Quantitative Risk Analyst at Natixis in Porto means being part of an inclusive and collaborative environment. You'll enjoy a cultural blend of professionalism and innovation, with opportunities for social activities, such as team sports, and a beautiful workspace that promotes creativity and community engagement.

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Common Interview Questions for Quantitative Risk Analyst - ERM
Can you explain the importance of model backtesting in risk analysis?

Backtesting is crucial as it verifies that the models used for risk analysis accurately predict actual risk. It ensures that methodologies comply with regulatory standards and produce reliable outcomes, allowing you to make informed decisions and adjustments.

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What strategies would you employ to optimize risk measurement methodologies?

To optimize methodologies, I would assess current processes for bottlenecks, apply advanced statistical approaches, and integrate machine learning algorithms to enhance predictive capabilities. Regular reviews and team collaboration are key to ensure continuous improvement.

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How do you keep up with regulatory changes in the banking sector?

I stay updated by subscribing to regulatory bodies' newsletters, participating in industry forums, and networking with other professionals. Continuous education through workshops and online courses also helps me ensure compliance and adapt our practices accordingly.

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Describe a challenging situation you've faced in quantitative analysis and how you handled it.

Once, I encountered discrepancies in model outputs during a quarterly assessment. I conducted a thorough review, identified errors in data input, and recalibrated the model. This process not only resolved the issue but improved our overall model governance.

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What programming languages are you proficient in, and how have you used them in your previous roles?

I am proficient in Python, SAS, and C++. I've used Python for data analysis and visualization, SAS for statistical modelling, and C++ for developing high-performance risk management tools, enhancing the accuracy and efficiency of our risk assessments.

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How do you ensure effective communication of complex risk analysis results?

I simplify complex concepts into key takeaways, using clear visuals and outlines in presentations. I also encourage questions to ensure that stakeholders fully understand the implications of the analysis, fostering a constructive dialogue around risk management.

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Can you tell us about a time you worked on a team project? What was your role?

In a recent project, I collaborated with a team of analysts to evaluate new risk models. My role involved leading the backtesting phase and presenting our findings to senior management, which strengthened our model validation process and enhanced team collaboration.

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How do you manage competing deadlines and prioritize tasks in a fast-paced environment?

I prioritize tasks based on their impact and urgency, using project management tools to track progress. Regular check-ins with teammates help to align our efforts and ensure that we meet all deadlines without compromising quality.

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What do you see as the biggest risk challenges facing financial institutions today?

The biggest challenges include managing market volatility, cyber threats, and adapting to ever-changing regulations. It's essential for risk analysts to stay proactive in identifying potential risks and implementing robust frameworks to mitigate them.

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What motivates you to work in risk analysis?

I'm motivated by the dynamic nature of risk analysis, where every day presents new challenges. The opportunity to contribute to a more stable and secure financial system while working with talented individuals in a collaborative environment drives my passion for this field.

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Natixis is the international corporate, investment, insurance and financial services arm of Groupe BPCE, the 2nd-largest banking group in France with 35 million clients spread over two retail banking networks, Banque Populaire and Caisse d’Epargne...

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DATE POSTED
April 17, 2025

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