onsite
Quantitative Analytics Consultant - Financial Services
Software Engineer
Consulting role focused on quantitative analytics for financial services, leveraging Python, R, and SQL to build machine‑learning models, econometric analyses, and big‑data pipelines.
About the role
Key Responsibilities
- Design and implement quantitative models for risk, pricing, and portfolio optimization using machine learning and econometric techniques.
- Develop and maintain data pipelines and big‑data solutions (e.g., Hadoop, Spark) to ingest, clean, and transform large financial datasets.
- Collaborate with client stakeholders to translate business requirements into analytical solutions and actionable insights.
- Produce clear documentation, visualizations, and presentations of model results for both technical and non‑technical audiences.
- Stay current with emerging AI/ML methods and financial regulations to continuously improve analytical approaches.
Requirements
- Strong programming skills in Python and R, with solid experience in SQL for data extraction and manipulation.
- Proven expertise in machine learning, statistical modeling, and econometrics applied to finance.
- Hands‑on experience building and scaling big‑data workflows using technologies such as Hadoop or Spark.
- Excellent problem‑solving abilities and the capacity to communicate complex quantitative concepts clearly.
- Relevant academic background (e.g., PhD or Master’s) in Mathematics, Statistics, Computer Science, or Finance.
Skills
pythonsqlmachine learning