Wholesale Credit Reserves & Loss Modelling - Quantitative Analyst
Warsaw, Masovian Voivodeship, PL
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
## Time Type: Full time \------------------------------------------------------
Employment type in the employer’s listing: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingYou will work alongside experienced colleagues to further develop your analytical and quantitative skills.
From the employer’s posting
DART (The Risk Data, Analytics, Reporting & Technology) is the leading risk modelling and data analytics team in Citi. We use mathematical modelling and the latest technologies to calculate risk for the largest portfolios in Citi. We use visualizations and dashboards to communicate risk to senior stakeholders. Our models and analytics ensure that the bank has adequate capital during crisis. We are a diverse group of professionals with backgrounds in physics, engineering, finance, economics, and data science. You will work alongside experienced colleagues to further develop your analytical and quantitative skills. Your responsibilities will include building models and analytical applications to tackle real-world challenges, paving the way for a career as a risk management expert and leader. As a successful Candidate you will be a part of IFRS9 and ICAAP modelling team, part of Loss Forecasting Analytics Group, which is responsible for statistical models used in reserves calculation (IFRS9 or CECL) and stress testing (ICAAP, CCAR and others). The role offers a huge development opportunity and exposition to local and global initiatives.
What you’ll bring
All qualificationsCore experience
- Hands-on experience with the research, development, and implementation of financial models.
Preferred experience
- Good knowledge of Linux is a plus.
Qualification wording
* Master's degree from a quantitative field (Mathematics, Physics, Computer Science, Econometrics, Statistics, Economics, Finance, etc.) is required. * 3+ years of experience in quantitative financial modeling. Hands-on experience with the research, development, and implementation of financial models. * Ability to apply sophisticated mathematical/analytical techniques to solve real-world problems. * Knowledge of wholesale credit products and financial markets at a financial institution is preferred. * Good knowledge of credit reserves calculation in line with IFRS9/CECL, bank stress testing in line with ICAAP/CCAR or PD/LGD/EAD modeling is a plus. * Familiar with statistics packages and regression models. * Strong programming skills in Python. Good knowledge of Linux is a plus. * Excellent communication skills, verbal as well as written.
Education & alternatives
Qualifications: * Master's degree from a quantitative field (Mathematics, Physics, Computer Science, Econometrics, Statistics, Economics, Finance, etc.) is required. * 3+ years of experience in quantitative financial modeling. Hands-on experience with the research, development, and implementation of financial models. * Ability to apply sophisticated mathematical/analytical techniques to solve real-world problems. * Knowledge of wholesale credit products and financial markets at a financial institution is preferred. * Good knowledge of credit reserves calculation in line with IFRS9/CECL, bank stress testing in line with ICAAP/CCAR or PD/LGD/EAD modeling is a plus. * Familiar with statistics packages and regression models. * Strong programming skills in Python. Good knowledge of Linux is a plus. * Excellent communication skills, verbal as well as written. By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (currently up to 2 days working at home per week), but also (potentially, subject to final offer) receive a competitive base salary and enjoy a whole host of additional benefits which can include:
Tools in this posting
- Python
Source — Tool mentions in context
Responsibilities: * Research, develop, and test wholesale expected credit loss models in line with IFRS9 standard and country-specific regulatory requirements, credit loss models used for regulatory stress testing including ICAAP, EBA and others as well as internal stress testing. * Implement loss models and analytical functions in the internal python library * Prepare detailed quantitative modeling and analysis for risk managers and senior management. * Actively participate in the analysis and interpretation of results, incorporating feedback as appropriate into models and metrics. * Support business, finance, risk managers, foundational credit risk, model validation, internal audit, and banking supervisors for loss models related discussions. * Synthesize and communicate complex risk models and results. * Conduct statistical analysis, quantitative modeling, and model risk controls. Qualifications:
Qualifications: * Master's degree from a quantitative field (Mathematics, Physics, Computer Science, Econometrics, Statistics, Economics, Finance, etc.) is required. * 3+ years of experience in quantitative financial modeling. Hands-on experience with the research, development, and implementation of financial models. * Ability to apply sophisticated mathematical/analytical techniques to solve real-world problems. * Knowledge of wholesale credit products and financial markets at a financial institution is preferred. * Good knowledge of credit reserves calculation in line with IFRS9/CECL, bank stress testing in line with ICAAP/CCAR or PD/LGD/EAD modeling is a plus. * Familiar with statistics packages and regression models. * Strong programming skills in Python. Good knowledge of Linux is a plus. * Excellent communication skills, verbal as well as written. By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (currently up to 2 days working at home per week), but also (potentially, subject to final offer) receive a competitive base salary and enjoy a whole host of additional benefits which can include:
Posting record
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- First seen by us
- Oct 18, 2026 · today
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- 1
- Employer says posted
- Oct 8, 2026
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Warsaw, Masovian Voivodeship, PL
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