Senior Data Scientist - Financial Modeling

Placements24; Pretoria; Hybrid; ZAR 1,100,000 - 1,600,000; Full time

Benefits offered by this job

Remote-first work environment

Competitive salary + bonus program

Health insurance

Professional development budget

Access to cutting-edge technology

Job summary

Placements24 is seeking a Senior Data Scientist with a specialization in Financial Modeling for a remote-first analytics team. You will build predictive models, optimize financial strategies, and drive data-driven decisions in the banking/finance sector.

You will work with Python/R, SQL, and big data tools, collaborating across functions to tackle complex business challenges in a distributed organization.

Qualifications

• Master's or Ph.D. in a quantitative field.
• 5+ years of data science experience with finance focus.
• Proficiency in Python or R and ML libraries.
• Strong SQL and big data stack experience.

Responsibilities

• Develop, validate, and deploy ML models for financial forecasting and risk.
• Extract, clean, and transform large datasets for analysis.
• Collaborate with stakeholders to define problems and data needs.
• Design and run A/B tests to evaluate model effectiveness.
• Stay updated on DS/ML and financial modeling advances.
• Present findings clearly to both technical and non-technical teams.

Skills

Python

R

SQL

scikit-learn

TensorFlow

PyTorch

Big Data

Education

Master's or Ph.D. in Data Science/CS/Statistics/Math

Tools

Spark

Hadoop

Job description

About the Role

Our client is seeking a highly skilled Senior Data Scientist with a specialization in Financial Modeling to join their innovative, remote-first analytics division. This role is crucial for leveraging vast datasets to build predictive models, optimize financial strategies, and drive data-informed decision-making within the banking and finance sector. You will work with state-of-the-art tools and technologies, collaborating with cross-functional teams to tackle complex business challenges. This position offers an exceptional opportunity for a passionate data scientist to pioneer new approaches in financial analytics, contribute to high-impact projects, and thrive in a fully distributed, forward-thinking organization.

Key Responsibilities

• Develop, validate, and deploy advanced machine learning models for financial forecasting, risk assessment, and anomaly detection.
• Extract, clean, and transform large, complex datasets from various sources for analysis.
• Collaborate with business stakeholders to define problem statements, identify data needs, and interpret model results.
• Design and conduct A/B tests and experiments to evaluate the effectiveness of models and strategies.
• Stay current with the latest advancements in data science, machine learning, and financial modeling techniques.
• Present findings and recommendations clearly and concisely to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science, with a strong focus on building predictive models in finance.
• Expertise in Python or R, including libraries such as scikit-learn, TensorFlow, or PyTorch.
• Proficiency in SQL and experience working with big data technologies (e.g., Spark, Hadoop).
• Solid understanding of statistical modeling, machine learning algorithms, and financial principles.
• Excellent communication and collaboration skills, particularly in a remote setting.

Benefits

• Highly competitive salary and a generous performance-based bonus program.
• Fully remote work environment, enabling a flexible lifestyle.
• Comprehensive health, dental, and vision insurance plans.
• Professional development budget for training, conferences, and certifications.
• Access to cutting-edge technology and a collaborative global team.