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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical modeling and data analysis, particularly in logistic regression and machine learning methods, while effectively communicating insights to clients and stakeholders. Proficient in programming with Python, R, SAS, and SQL, contributing to credit risk management and regulatory compliance projects.
Highest-signal resume keywords
Statistical ModelingLogistic RegressionMachine LearningPython ProgrammingCredit Risk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodsRegression TechniquesData MiningTime Series AnalysisClassification TreesModel ValidationStress TestingCapital Adequacy CalculationsQuantitative AnalysisAdvanced Statistical Methods
Soft Skills
Analytical ThinkingAttention to DetailCommunication SkillsResponsibilityProactivity
Tools & Technologies
PythonRSASSQLMicrosoft 365
Industry Keywords
Credit Risk ManagementRegulatory Impact AnalysisFinancial Data AnalysisClient ProjectsIntelligent Automation
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Analyze financial and other data
- Develop and validate statistical models, particularly logistic regression, classification trees, and machine learning methods
- Work with data, evaluate statistical tests, and apply advanced statistical methods
- Participate in client projects
- Communicate results to colleagues and clients
- Create final outputs in software
- Contribute to credit risk management projects for large banks and insurance companies
- Support credit risk process improvement, model development and validation, stress testing, capital adequacy calculations, and regulatory impact analysis
- Work with Python, R, SAS, and SQL
- Collaborate on projects involving intelligent automation and machine learning
Requirements
What you’ll need- University education in mathematics, statistics, or econometrics
- Knowledge of statistical and quantitative methods, including regression techniques, time series, clustering, and data mining
- Basic programming experience with R, Python, SAS, or SQL
- Analytical thinking
- Advanced knowledge of Microsoft 365
- Communication skills, attention to detail, responsibility, and proactivity
- Excellent knowledge of Slovak and English
Benefits
Comp & perks- Permanent employment
- Home office and flexible working hours: Three (3) days from the office and two (2) days from home
- Paid overtime
- Bonus leave: up to 5 additional days off
- Annual performance and company-results bonus
- Cafeteria benefits
- Contributions to dental care and medical examinations
- Fitness center passes and sports equipment
- Education expense contributions
- Reimbursement of seasonal public transport tickets
- Reimbursement of cinema, theatre and other cultural event tickets
- Childbirth and wedding contributions
- Referral bonus for successful employment candidates
- iPhone and laptop computer
- Certification fee support, such as ACCA and CFA
- MultiSport card
- Weekly massages at work
- Psychological counseling
- Employee discounts
- Above-standard recognition for work anniversaries
- Annual ski trip to Jasná and teambuilding events