Senior Data Scientist - Financial Analytics

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Flexible schedule

Health benefits

Retirement contributions

Continuous learning opportunities

Job summary

Placements24 is seeking a Senior Data Scientist to join its analytics team in a fully remote capacity. You will design, develop, and deploy sophisticated machine learning models and predictive analytics for banking and finance applications, handling large datasets with big data technologies.

The role requires collaboration with product managers, engineers, and stakeholders to translate data into actionable strategies.

Qualifications

• Master's degree 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 analytics or modeling.
• Strong proficiency in Python or R and libraries like scikit-learn, TensorFlow, or PyTorch.
• Expertise in statistical modeling, machine learning techniques, and experimental design.
• Experience with big data technologies (Spark, Hadoop) and SQL.

Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms for financial forecasting, risk assessment, and fraud detection.
• Analyze large, complex datasets to extract meaningful insights and identify trends.
• Develop and maintain data pipelines and infrastructure for data processing and model deployment.
• Collaborate with cross-functional teams to define business problems and translate them into data science solutions.
• Conduct A/B testing and other experiments to evaluate model performance and business impact.
• Present findings and recommendations to technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, ML, and AI.
• Mentor junior data scientists and contribute to the team's technical growth.
• Ensure data privacy and security best practices are followed.

Skills

Python

R

ML algorithms

Statistical modeling

Big data

Spark/Hadoop

SQL

Data visualization

Communication

Remote work

Education

Master's degree or PhD in CS/Statistics/Math or related

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

About the Role

Our client, a cutting-edge financial technology firm, is seeking a talented Senior Data Scientist to join their analytics team. This fully remote position offers an exciting opportunity to work with large, complex datasets and develop sophisticated analytical models that drive innovation in the banking and finance industry. You will be responsible for designing, developing, and deploying machine learning models, predictive analytics, and data-driven insights to solve challenging business problems. The ideal candidate will have a strong background in statistical modeling, machine learning algorithms, programming (Python/R), and experience with big data technologies. You will collaborate with product managers, engineers, and business stakeholders to translate data into actionable strategies. This role is perfect for an experienced data scientist who thrives in a collaborative, remote-first environment and is passionate about leveraging data to shape the future of finance.

Key Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms for financial forecasting, risk assessment, and fraud detection.
• Analyze large, complex datasets to extract meaningful insights and identify trends.
• Develop and maintain data pipelines and infrastructure for data processing and model deployment.
• Collaborate with cross-functional teams to define business problems and translate them into data science solutions.
• Conduct A/B testing and other experiments to evaluate model performance and business impact.
• Present findings and recommendations to technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's technical growth.
• Ensure data privacy and security best practices are followed.

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 analytics or modeling.
• Strong proficiency in programming languages such as Python or R, and libraries like scikit-learn, TensorFlow, or PyTorch.
• Expertise in statistical modeling, machine learning techniques, and experimental design.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Proficiency in data visualization tools.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex concepts clearly.
• Proven ability to work independently and manage projects in a remote setting.

Benefits

As a fully remote employee, you will benefit from a flexible work schedule and the convenience of working from home. Our client offers a highly competitive salary, excellent health and wellness benefits, generous retirement contributions, and continuous learning opportunities. Join a forward-thinking team at the forefront of financial innovation in **Benoni**, contributing to impactful projects that shape the future of financial services.