Senior Data Scientist - Financial Modeling

Placements24

Stellenbosch

Hybrid

ZAR 1,985,000 - 3,143,000

Full time

4 days ago
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Benefits offered by this job

Equity options
Performance bonuses
Fully remote
Global health insurance
Home office allowance
Professional development

Job summary

Placements24 is seeking a highly skilled Senior Data Scientist with a specialization in Financial Modeling to join their fully remote team. Develop advanced predictive models and analytical solutions that drive strategic decision-making within the banking and finance sector, leveraging large datasets to uncover insights and translate complex findings into actionable recommendations for business stakeholders.

The role requires a Ph.D.

Qualifications

  • Ph.D. or Master’s in a quantitative field (e.g., CS, Stats, Math, Economics)
  • 5+ years of experience as a Data Scientist focusing on financial models
  • Strong Python or R with data libraries (Pandas, NumPy, Scikit-learn)
  • Solid grasp of statistical modeling, ML algorithms, and deep learning frameworks
  • Experience with big data tech (Spark, Hadoop) and cloud platforms (AWS/Azure/GCP)
  • Ability to work autonomously in a remote-first environment

Responsibilities

  • Design, develop, and implement advanced statistical and ML models for financial forecasting and risk assessment
  • Clean, process, and analyze large datasets from diverse sources
  • Collaborate with product managers, engineers, and analysts to define data-driven product strategies
  • Communicate complex results clearly to technical and non-technical stakeholders via visualizations
  • Stay current with data science and financial modeling advancements
  • Mentor junior data scientists and contribute to team growth

Skills

Python
R
Statistical modeling
ML algorithms

Education

Ph.D. or Master's degree in a quantitative field

Tools

Pandas
NumPy
Scikit-learn
Spark
Hadoop
AWS

Job description

About the Role

Our client is seeking a highly skilled Senior Data Scientist with a specialization in Financial Modeling to join their fully remote team. This position is integral to developing advanced predictive models and analytical solutions that drive strategic decision-making within the banking and finance sector . You will leverage large datasets to uncover insights, build sophisticated algorithms, and translate complex findings into actionable recommendations for business stakeholders. This role offers a unique opportunity to work on cutting-edge data science challenges from anywhere, contributing directly to the company's innovation and competitive edge.

Key Responsibilities
  • Design, develop, and implement advanced statistical and machine learning models for financial forecasting, risk assessment, and customer behavior analysis.
  • Clean, process, and analyze large, complex datasets from various sources.
  • Collaborate with product managers, engineers, and business analysts to define data-driven product strategies and features.
  • Communicate complex analytical results and insights clearly to both technical and non-technical audiences through visualizations and presentations.
  • Stay current with the latest advancements in data science, machine learning, and financial modeling techniques.
  • Mentor junior data scientists and contribute to the team's overall technical growth and best practices in financial modeling .
Requirements
  • Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
  • 5+ years of professional experience as a Data Scientist, with a strong focus on building and deploying financial models.
  • Expertise in programming languages such as Python or R, and proficiency with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
  • Solid understanding of statistical modeling, machine learning algorithms, and deep learning frameworks.
  • Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
  • Excellent problem-solving skills and the ability to work autonomously in a remote-first environment.
Benefits
  • Highly competitive salary with equity options and performance bonuses.
  • Fully remote work arrangement, offering unparalleled flexibility and work-life balance.
  • Comprehensive global health, dental, and vision insurance.
  • Generous allowance for home office setup and professional development.
  • A forward-thinking, collaborative culture that values innovation and data-driven insights in the financial industry .
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