Data Scientist - Financial Modeling

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,300,000; Full time

Job summary

Placements24 seeks an innovative Data Scientist specializing in Financial Modeling to join our Port Elizabeth team. You will design and deploy predictive models, analyze large datasets, and translate insights for business decisions within the financial sector.

The role emphasizes finance-focused analytics, collaboration with analysts, and delivering data-driven results for strategic portfolios in Port Elizabeth and the Eastern Cape.

Qualifications

• Master's or PhD in a quantitative field with focus on finance.
• At least 5 years building and deploying financial models.
• Proficiency in Python or R and data science libraries.
• Strong knowledge of financial mathematics and ML algorithms.
• Experience with SQL and big data tech is desirable.

Responsibilities

• Design, develop, and implement advanced statistical and machine learning models for financial forecasting and risk assessment.
• Analyze large, complex datasets to identify trends, patterns, and correlations relevant to financial performance.
• Collaborate with financial analysts and business stakeholders to translate complex analytical findings into actionable business insights.
• Develop and maintain data pipelines and ensure the integrity and quality of data used for modeling.
• Create visualizations and reports to communicate model results and insights effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.

Skills

Python/R

ML models

SQL & Big Data

Statistics & Math

Communication

Education

Master's or PhD in Data Science/Statistics/CS/Quant Finance

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

About the Role

Our client is seeking an innovative and experienced Data Scientist specializing in Financial Modeling to join their expanding team in Port Elizabeth . This role is central to leveraging advanced data analytics and machine learning techniques to develop sophisticated financial models, enhance predictive capabilities, and drive strategic insights for the company's diverse portfolio. You will work at the forefront of financial technology, contributing to data-driven decision-making and innovation within the Eastern Cape 's financial landscape. Ideal for a candidate passionate about uncovering patterns in complex datasets and applying them to real-world financial challenges.

Key Responsibilities

• Design, develop, and implement advanced statistical and machine learning models for financial forecasting and risk assessment.
• Analyze large, complex datasets to identify trends, patterns, and correlations relevant to financial performance.
• Collaborate with financial analysts and business stakeholders to translate complex analytical findings into actionable business insights.
• Develop and maintain data pipelines and ensure the integrity and quality of data used for modeling.
• Create visualizations and reports to communicate model results and insights effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Quantitative Finance, or a related field.
• Minimum of 5 years of experience in data science, with a strong focus on building and deploying financial models.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, machine learning algorithms, and financial mathematics.
• Experience with SQL and big data technologies (e.g., Spark, Hadoop) is highly desirable.
• Excellent problem-solving, analytical, and communication skills.

Benefits

• Highly competitive salary commensurate with experience.
• Comprehensive health, dental, and vision insurance plans.
• Generous opportunities for professional development, including conferences and training.
• Access to cutting-edge technology and a collaborative research environment in Port Elizabeth .
• Work on challenging and impactful projects within the financial sector.