Description:
Join a financial services company as a Data Scientist transforming vast financial and short-term insurance datasets into actionable insights for portfolio managers, analysts, and risk teams. Youll build predictive models, automate due-diligence workflows, and surface performance driversspanning traditional market data and insurer-specific metrics such as claims frequency, loss ratios, and solvency capital requirements.
Responsibilities:
Design ML?/?quant models for manager selection, risk attribution, alpha forecasting, and factor analysisincorporating short-term insurance KPIs (e.g., combined ratio, reserve adequacy). Build scalable pipelines (Python, SQL, Spark/Dask) that ingest, cleanse, and enrich multi-manager and insurance data. Codify due-diligence, performance-benchmarking, and insurer-health monitoring into reproducible frameworks. Deliver real-time dashboards and APIs highlighting manager alpha and insurance-portfolio risk exposure. Partner with PMs, analysts, risk, and actuarial teams to translate business problems into data-driven solutions. Mentor junior analysts; promote best practices in ML-Ops and model governance. Stay current on AI/ML trends across investments and InsurTech; pilot relevant techniques (e.g., telematics-driven claims prediction, catastrophe risk modeling). Contribute to our cloud-first stack (Azure?/?AWS, Databricks, Snowflake)Qualifications and Experience:
Bachelors or Masters in Data Science, Stats, Comp?Sci, Math, or Financial?Engineering 57?yrs hands on data science experience (finance preferred) Strong Python & SQL; expertise in ML libraries (Scikit learn, XGBoost, TensorFlow/PyTor Proven track record deploying models to production (CI/CD, monitoring, retraining) Cloud & big data know how (Azure?/?AWS, Spark, Databricks, Snowflake) The Reference Number for this position is NG60433 which is a Permanent Hybrid role offering a salary of R550k up to R750k per annum salary negotiable based on experience. E-mail Nokuthula on
25 Apr 2025;
from:
gumtree.co.za