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Responsibilities:
Conduct comprehensive data exploration and validation, identifying and addressing data quality issues.
Perform rigorous data analysis and mining, interpret findings, and generate formal statistical documentation and reports. Collaborate with Technology teams to resolve data-related challenges.
Analyze data reports, provide insights, and formulate recommendations to meet evolving business needs.
Develop and implement a variety of statistical models to enhance data acquisition, evaluation, and interpretation. Identify key data relationships, trends, and influencing factors.
Evaluate multiple modeling methodologies and select the most appropriate approach for each model development project.
Conduct thorough model testing, including sensitivity analysis and back-testing, to ensure robustness and accuracy.
Lead annual model reviews, performance assessments, and model redevelopment initiatives as required.
Produce comprehensive model documentation, including technical specifications and user guides, adhering to industry best practices.
Effectively communicate complex model results to both technical and non-technical audiences through presentations and formal documentation.
Foster strong working relationships with cross-functional teams, including country/region business stakeholders, model validation, governance, and implementation teams.
Leverage critical thinking and quantitative skills to solve complex business problems in a fast-paced, collaborative environment.
Prepare comprehensive responses to inquiries from regulators and internal audit regarding developed models.
Validate model assumptions, proactively identify and escalate potential risks, and address sensitive areas within the methodology and development process.
Adhering to internal policies and procedures.
Exercising ethical judgment in personal behavior, conduct, and business practices.
Proactively identifying, escalating, managing, and reporting control issues with transparency.
Qualifications:
Master's degree in Econometrics, Statistics, Mathematics, Finance, or a related Applied Science field. CFA or FRM certification is a plus.
2+ years of experience in a quantitative role, preferably with experience in credit risk management.
Proven experience in researching, developing, and implementing credit risk models, including technical and non-technical documentation.
Strong programming skills in Python, R, or other object-oriented languages.
Proficiency with statistical software packages and regression modeling techniques.
Solid understanding of Accounting and Corporate Finance principles is highly desirable.
Excellent verbal and written communication skills.
Ability to prioritize effectively, make sound decisions, and meet deadlines in a fast-paced environment with competing demands.
Self-motivated, detail-oriented, and possess strong organizational and project management skills, with the ability to manage multiple projects concurrently.
joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits such as:
Private Medical Care Program
Life Insurance Program
Pension Plan contribution (PPE Program)
Employee Assistance Program
Paid Parental Leave Program (maternity and paternity leave)
Sport Card
Holidays Allowance
Sport and team recreation activities
Special offers and discounts for employees
Access to an array of learning and development resources
A discretional annual performance related bonus
A chance to make a difference with various affinity networks and charity initiatives
Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
Risk ManagementRisk Analytics, Modeling, and Validation
Time Type:
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