Danijela Lazarevic
PARIS
Summary
Mathematician, with more than ten years of work experience at international finance institution (insurance), and education. Proactive professional skilled in data analytics and interpreting data sets. Successful at supporting management decisions with building, and maintaining models focused on evaluating different data/portfolio structures and trends in order to achieve goals for cost controls and risk mitigation. Oriented to data analytics, acquired knowledge in machine learning and predictive modeling through continuing trainings. Bringing excellent communication abilities and adaptable nature. Knowledgeable Actuary with expertise in statistical analysis and model building. Proficient in diverse insurance products and pricing structures. Bringing excellent critical thinking abilities, an adaptable nature and 14 years of experience in the industry.
Overview
21
21
years of professional experience
1
1
Certification
Work History
Actuary
Partner Reinsurance SA
Paris
01.2011 - Current
- Mathematical models and statistical concepts applied in life insurance
- Worked with cross-functional teams to organize, analyze, and monitor large sets of data
- Prepared financial forecasts and presented them to the management
- Monitored key market’s portfolio profitability and data flow
- Conducted exploratory data analysis on large datasets to identify trends, patterns, and correlations in the data which explains financial outcome
- Provided insights into customer behaviors by applying descriptive statistics
- Described distribution of data, outliers, frequency, and severity of extreme events
- Supported business decision making with assessing data compliance with company’s risk appetite
- Developed (actuarial) models to evaluate the risk associated with underlying data/business
- Provided technical guidance on best practices for collecting and analyzing data
- Project activities: Tools and process optimization set up for complex data
- Developed and maintained processes and methodology guidelines
- Identified areas of improvement within existing actuarial systems, procedures, and processes
- Conducted research on current trends in the industry to inform decisions about policy changes
- Cross-functional activities: Collaborated with other departments to ensure that collected data was accurate and complete before being analyzed
- Financial results presentation to peers and management, forecasting trends analyzing historical patterns
- Guided transversal team’s feedback cycle in order to improve knowledge transfer.
Teacher of Mathematics and Computer Science
Pharmaceutical High School
Belgrade
01.2003 - 01.2008
- Teaching mathematics, curriculum for students of age of 15 – 18 oriented to general medicine, kinesiotherapy, or pharmaceutical studies
- Develop problem solving skills and the ability to use mathematics in everyday life
- Teaching computer science literacy for advance usage of Microsoft Office packages.
Teacher in programming
Electro - Technical High School
Belgrade
- Initiation in objective programming language “C” for talented students of age 15 – 18, oriented to IT technologies.
Education
Master of Science - Actuarial Science
University of Lausanne, HEC
Bachelor of Science - Education in Mathematics and Computer Science
University of Belgrade, Faculty of Mathematics
Skills
- Statistical software R
- Strong analytical thinking
- Insurance knowledge
- Excellent Communication
- Continuous Improvement
- Attention to Detail
Certification
Certificate Data Scientist, 2024, National School of Economics and Statistics (ENSEA), Paris
Accomplishments
- Swiss confederation Scholarship (2008), contingent for Central Europe for financing master studies.
Languages
- Serbian, First Language
- English, C2
- French, C1
Timeline
Actuary
Partner Reinsurance SA
01.2011 - Current
Teacher of Mathematics and Computer Science
Pharmaceutical High School
01.2003 - 01.2008
Teacher in programming
Electro - Technical High School
Master of Science - Actuarial Science
University of Lausanne, HEC
Bachelor of Science - Education in Mathematics and Computer Science
University of Belgrade, Faculty of Mathematics
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