Senior Data Scientist - Financial Modeling

Placements24; Polokwane; Hybrid; ZAR 1,439,000 - 2,398,000; Full time

Job summary

Placements24 is seeking a Senior Data Scientist specializing in financial modeling to join our global team in a fully remote capacity. You will build and deploy advanced models for credit risk, forecasting, and fraud detection, working with large, diverse datasets and cross-functional partners.

The ideal candidate holds a master's or PhD in a quantitative field, has 5+ years of data science experience, and is proficient in Python or R, with experience in libraries such as scikit-learn,

Qualifications

• Master's or PhD in a quantitative field such as CS, stats, math or economics.
• 5+ years of experience in data science with a focus on financial models.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow or PyTorch.
• Expertise in statistical modelling, ML algorithms, and data mining.
• Experience with SQL, big data technologies and cloud platforms.

Responsibilities

• Develop, test, and deploy ML models for financial forecasting and risk assessment.
• Clean and analyze large, complex datasets from diverse sources.
• Collaborate with product, engineering and data teams to deliver insights.
• Design and run A/B tests to measure model impact and features.
• Communicate findings through visualizations and presentations.
• Stay current with advances in data science and financial modelling.

Skills

Statistical modelling

Machine learning

Data analysis

Analytical thinking

Problem solving

Education

Master's or PhD in Computer Science, Statistics, Mathematics, Economics or related quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Spark/Hadoop

AWS/Azure/GCP

Job description

About the Role

Our client is seeking a highly skilled Senior Data Scientist specializing in Financial Modeling to join their innovative team in a fully remote capacity. This role is pivotal in leveraging advanced data analytics and machine learning techniques to build sophisticated financial models that drive business insights and strategic decisions. You will work with large, complex datasets to uncover patterns, predict trends, and develop predictive models for areas such as credit risk, market forecasting, and fraud detection. This remote position offers the chance to work on cutting-edge projects with a global impact, collaborating virtually with diverse teams.

Key Responsibilities

• Develop, test, and deploy machine learning models for financial forecasting, risk assessment, and customer behavior analysis.
• Clean, process, and analyze large, complex datasets from various sources using advanced statistical and computational techniques.
• Collaborate with product managers, engineers, and other data scientists to define project requirements and deliver actionable insights.
• Design and conduct A/B tests and other experiments to measure the impact of new models and features.
• Communicate findings and model results effectively to technical and non-technical audiences through visualizations and presentations.
• Stay current with the latest advancements in data science, machine learning, and financial modeling.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• 5+ years of experience in data science, with a strong focus on developing and deploying financial models.
• Proficiency in programming languages like Python or R, and libraries such as scikit-learn, TensorFlow, or PyTorch.
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL, big data technologies (e.g., Spark, Hadoop), and cloud platforms (e.g., AWS, Azure, GCP).
• Strong analytical and problem-solving skills, with a keen eye for detail.

Benefits

• Generous salary and annual bonus potential.
• Fully remote work environment with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development, including conferences and training.
• Be part of a forward-thinking company at the forefront of financial technology innovation.