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Quantitative Analyst
2 tygodni temu
Location: fully remote or Cracow
Type: Full-time
Rate: depends on your expectations
Languages: English, Polish
Key Responsibilities:
Risk Model Development & Enhancement:
- Design, implement, and maintain models for Counterparty Credit Risk (CCR) and Traded Risk, including VaR, Stressed VaR, RNIV, IRC, PFE, EPE, CVA, and Capital Models.
- Develop Climate Risk models aligned with Science-Based Targets and sustainability objectives.
- Ensure compliance with Basel III/IV, FRTB, and climate-related regulations.
Model Validation & Governance:
- Validate model assumptions and methodologies, assessing performance and regulatory alignment.
- Document model development processes and results for internal governance and regulatory bodies.
Climate Risk Integration:
- Support the integration of climate risk factors into existing credit exposure models and stress-testing frameworks.
- Leverage climate scenario analysis to evaluate physical and transition risks.
Programming & Automation:
- Develop Python-based tools, libraries, and analytics to enhance model efficiency and risk measurement processes.
- Optimize and automate existing risk workflows and reporting processes.
Cross-Functional Collaboration:
- Work closely with traders, risk managers, climate strategy teams, and IT to deliver risk insights and ensure robust risk management frameworks.
- Translate complex quantitative outputs into actionable insights for senior stakeholders.
What We’re Looking For:
✅ Education & Qualifications:
- Degree (MSc/PhD preferred) in Quantitative Finance, Mathematics, Statistics, Engineering, or a related field.
- Professional certifications: GARP SCR, FRM, or equivalent Climate Risk credentials.
✅ Experience:
- Proven experience (4+ years) in quantitative risk modeling, preferably within investment banking or consulting.
- Hands-on experience in Climate Risk modeling, Climate Scenario Analysis, and alignment with Net-Zero/SBTI targets.
- Deep understanding of Counterparty Credit Risk (CCR) and Traded Risk models under FRTB and Basel frameworks.
✅ Technical Skills:
- Proficient in Python for model development (NumPy, Pandas, SciPy, scikit-learn).
- Experience with SQL, MATLAB, or R is a plus.
- Familiarity with climate data sets and sustainability reporting frameworks (TCFD, EU Taxonomy, etc.).
✅ Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent communication skills—capable of presenting technical content to non-technical stakeholders.
- Collaborative mindset, able to work across multidisciplinary teams.
