Manager Credit Risk

Posted 2 Days Ago
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Hiring Remotely in Zagreb, Grad Zagreb, HRV
Remote or Hybrid
Mid level
Software • Consulting • Financial Services
The Role
Support clients in developing, validating and reviewing credit risk models and frameworks (A-IRB/IFRS 9). Perform quantitative analysis using econometric, machine learning and AI techniques, review fintech usage and best practices, manage project delivery, and present analytical reports to clients and senior colleagues.
Summary Generated by Built In

Career Development Opportunity

Zanders is looking for a motivated Credit Risk Manager who wishes to apply their expertise in finance and join our new Zanders team in Zagreb. By working on international projects with leading financial institutions (banks and insurers) in Europe, we offer a unique global experience, professional growth, and an environment that fosters innovation. Join us and become part of a dynamic team where your skills and expertise will truly make a difference.  
Required Skills and Experience 

  • Master or PhD degree in mathematics, physics, mathematical statistics, financial mathematics, actuarial sciences, econometrics, computer science or engineering; 

  • 3+ years of experience in the field of credit risk within financial institutions or consulting firms; 

  • Deep knowledge of Credit Risk modelling, including A-IRB, and/or IRFS 9 models; 

  • Familiarity with current market practices, machine learning, AI and regulations such as CRD, CRR, and EBA Guidelines, and emerging industry trends; 

  • Strong interest in developing, designing and performing the quantification of risk, as well as affinity with financial markets; 

  • Solid programming skills in Python, R or SQL; 

  • Strong communication skills (spoken and written) in English. Knowledge of German is an advantage; 

Who We Are 

We are a global financial consulting firm focused on Treasury, Risk and Technology. From our HQ in the Netherlands, we have been expanding our presence in Europe, UK, USA, and Asia. For 30 years we have been providing innovative solutions embracing the latest technological advancements to multinational corporations, financial institutions, public sector entities and NGOs. We go beyond conventional boundaries, delving into new market segments to uncover untapped opportunities. As pioneers in Environmental, Social, and Governance (ESG) principles and practices, we support our clients to achieve their ESG goals. 

At Zanders we invest in our people for an inclusive atmosphere, where freedom, fun, and collaboration are pivotal and set us apart, defining our success. We believe that diversity, equity, and inclusion (DE&I) are essential to establish a strong and sustainable business, fostering a culture that values and respects diversity in all forms. Zanders is not just a workplace – it is a supportive community. 

We invite those who share our passion for collaboration, growth, and positive impact to join us on this journey. If you're in search of a workplace which nurtures personal and professional development, Zanders is the perfect fit for you. 

Your Role 

As part of the Risk Advisory Group (RAG), alongside our consultants in various locations, you will focus on client projects in financial risk management, risk data and analytics. Key responsibilities include: 

  • Support clients in developing, validating risk models and/or reviewing risk frameworks for financial and/or non-financial risks;  

  • Use programming languages for quantitative analysis (e.g. applying econometric, machine learning and AI techniques), model development or model validation; 

  • Review how clients currently use financial technology, identify best practice improvements, and implement those changes; 

  • Manage the project successfully and align with client expectations; 

  • Advance the project work by completing assigned tasks, providing client support in a timely manner and presenting analytical reports to senior colleagues or clients;  

What We Offer 

  • Collaboration with global clients in solving complex financial challenges; 

  • A hybrid work environment, that promotes a healthy work-life balance; 

  • Allowance to set up your home office in an ergonomically responsible way and an internet allowance; 

  • A structured career path with clear progression; 

  • Opportunities for rapid professional growth as part of a new and expanding team in Croatia. 

  • An international and fun working environment, Cultural night events, annual Zanders's trip to a (surprise) location in Europe and many more exciting experiences to come! 

By applying for a role at Zanders, you give us approval to use and retain your personal details. Taking into account the nature of Zanders enterprise, you are expected to behave to a high moral standard. A Pre-Employment Screening (PES) by a third party is part of the application process. 

Skills Required

  • Master or PhD in mathematics, physics, mathematical statistics, financial mathematics, actuarial sciences, econometrics, computer science or engineering
  • 3+ years of experience in credit risk within financial institutions or consulting firms
  • Deep knowledge of credit risk modelling, including A-IRB and/or IFRS 9 models
  • Familiarity with current market practices, machine learning, AI, and regulations such as CRD, CRR, and EBA Guidelines
  • Experience developing, designing and performing quantification of risk; affinity with financial markets
  • Solid programming skills in Python, R or SQL
  • Strong spoken and written communication skills in English
  • Knowledge of German
  • Willingness to undergo Pre-Employment Screening (PES)
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The Company
450 Employees
Year Founded: 1994

What We Do

Zanders is a global financial consulting firm specializing in treasury management, financial risk, and treasury technology. Headquartered in the Netherlands, it provides advisory, technology, and implementation solutions to multinational corporations, financial institutions, public-sector organizations, and NGOs. Its services help clients improve treasury and risk operations, navigate corporate finance complexity, adopt technology, and pursue environmental, social, and governance objectives across global markets.

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