Senior Actuarial Analyst
4 days ago
Job Description
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
About this Job: We are seeking an Actuarial Data Scientist to join our Data and AI capability.
Detail-oriented Actuarial Analyst with 3 - 7 Years of experience in data-driven decision-making, specializing in actuarial modeling, statistical analysis, and data science techniques. Skilled in leveraging mathematical expertise to assess financial risks, optimize insurance pricing models, and develop predictive models using advanced data science methods. Proficient in [list key technical skills, e.g., Python, R, SQL, Excel, actuarial science techniques], with a proven track record of developing actionable insights and communicating complex findings effectively to stakeholders.
Technical Skills
- Actuarial Science Tools & Techniques: Proficient in frequency and severity modeling, survival analysis, and risk assessment methodologies used in general insurance and financial services.
- Programming & Data Manipulation: Skilled in Python (Pandas, NumPy), R (actuarial science packages), SQL, and Excel for data manipulation, cleaning, and ETL processes.
- Statistical & Machine Learning Modeling: Experienced with machine learning libraries like Scikit-Learn, TensorFlow, and actuarial libraries such as lifelines (for survival analysis) and actuarial-specific packages in R.
- Data Science Libraries: Advanced knowledge of Python libraries like Pandas, Seaborn, and Matplotlib for data wrangling and visualization; capable of building complex data science models.
- Insurance Pricing & Risk Models: In-depth understanding of general insurance pricing, stochastic modeling, and advanced actuarial techniques for accurate risk assessment and pricing.
- Data Visualization: Proficient in creating data-driven visualizations using tools such as Power BI, Tableau, and Seaborn, transforming technical findings into meaningful insights for non-technical audiences.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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