Senior Data Scientist - Fintech

Placements24; Vereeniging; Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Fully remote

Health insurance

Learning budget

Competitive pay

Team collaboration

Job summary

Placements24 is seeking a Senior Data Scientist with fintech focus to join a fully remote team. You will develop predictive models, optimize financial products, and uncover insights from complex datasets to drive strategic decisions.

The role emphasizes advanced analytics, ML/AI, and collaboration with product, engineering, and business stakeholders across the organization. A strong quantitative background and 5+ years in data science are required.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science, with a focus on financial modeling and machine learning applications.
• Proficiency in programming languages such as Python or R, and expertise in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Deep understanding of statistical modeling, predictive analytics, and machine learning algorithms.

Responsibilities

• Design, develop, and deploy sophisticated machine learning models for financial forecasting, fraud detection, and customer behavior analysis.
• Extract, clean, and transform large, complex datasets from various sources.
• Collaborate with product managers, engineers, and business stakeholders to define data-driven strategies and solutions.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities.
• Stay current with the latest advancements in data science, machine learning, and AI.

Skills

Python

R

SQL

Big Data

TensorFlow

PyTorch

Education

Master's or PhD in a quantitative field

Tools

scikit-learn

Spark

Hadoop

Job description

About the Role

Our client is looking for an accomplished Senior Data Scientist specializing in Fintech to join their fully remote team. This role is at the forefront of leveraging advanced analytics, machine learning, and AI to drive innovation within the financial services sector. You will be instrumental in developing predictive models, optimizing financial products, and uncovering actionable insights from complex datasets. This is a unique opportunity for a seasoned data professional to make a significant impact from anywhere in the country, working within a forward-thinking and technologically advanced organization.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models for financial forecasting, fraud detection, and customer behavior analysis.
• Extract, clean, and transform large, complex datasets from various sources.
• Collaborate with product managers, engineers, and business stakeholders to define data-driven strategies and solutions.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science, with a focus on financial modeling and machine learning applications.
• Proficiency in programming languages such as Python or R, and expertise in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Deep understanding of statistical modeling, predictive analytics, and machine learning algorithms .
• Proven ability to translate business problems into data science solutions.

Benefits

• Highly competitive salary and performance-based bonuses.
• Fully remote work arrangement, providing ultimate flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, conferences, and continuous learning.
• Collaborative and innovative remote team culture focused on cutting-edge technology.