Senior Data Scientist (Finance)

Placements24; Randburg; Hybrid; ZAR 1.000.000 - 1.800.000; Vollzeit

Benefits dieser Stelle

Remote work arrangement

Competitive compensation

Health & retirement benefits

Professional development

Zusammenfassung

Placements24 is seeking a Senior Data Scientist in Randburg, Gauteng, with a strong background in finance to develop and deploy advanced models. You will collaborate with product, engineering, and finance teams in a fully remote capacity to drive product innovation and strategic decisions.

The role emphasizes machine learning, statistical modeling, and data mining on complex financial data, with opportunities for mentorship and professional growth.

Qualifikationen

• Master's or Ph.D. in data science, CS, statistics, mathematics, finance or related field.
• Minimum of 5 years of data science experience with finance focus.
• Proficient in Python or R and libraries (scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong statistical modeling, ML and data mining skills.
• Experience with SQL and large-scale databases.
• Familiarity with cloud platforms (AWS/Azure/GCP) and Spark.

Aufgaben

• Develop and deploy ML models for fraud detection, credit scoring, risk assessment, and segmentation.
• Analyze large datasets to identify trends and opportunities for growth.
• Design A/B tests and experiments to evaluate models and features.
• Build data pipelines and dashboards to monitor key metrics.
• Collaborate with engineers to deploy models to production.
• Communicate findings to technical and non-technical stakeholders.
• Stay updated on advancements in data science and fintech.
• Mentor junior data scientists and share knowledge.

Kenntnisse

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

SQL

Cloud platforms

Spark

Data visualization

Communication

Ausbildung

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

Tools

AWS

Azure

GCP

Jobbeschreibung

About the Role

Our client, a pioneering fintech company operating in Randburg, Gauteng , is seeking a highly skilled Senior Data Scientist with a strong background in finance. This role is instrumental in developing and deploying advanced analytical models to drive product innovation, optimize customer experiences, and inform strategic business decisions. The ideal candidate will leverage machine learning, statistical modeling, and data mining techniques to extract actionable insights from complex financial datasets. You will collaborate with cross-functional teams, including product managers, engineers, and finance professionals, in a fully remote capacity. This is an exceptional opportunity to shape the future of finance through data-driven solutions.

Key Responsibilities

• Develop and implement machine learning models for applications such as fraud detection, credit scoring, risk assessment, and customer segmentation.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for business growth.
• Design and conduct A/B tests and other experiments to evaluate model performance and product features.
• Build data pipelines and reporting dashboards to monitor key business metrics.
• Collaborate with engineering teams to deploy models into production environments.
• Communicate complex analytical findings and recommendations to technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, machine learning, and financial technologies.
• Mentor junior data scientists and contribute to the team's technical knowledge base.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Finance, or a related quantitative field.
• Minimum of 5 years of experience in data science, with a significant focus on financial applications.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large-scale databases.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, comfortable working in a remote team environment.
• Domain knowledge in finance, banking, or fintech is highly advantageous.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan.
• Opportunities for continuous professional development and learning.
• Fully remote work arrangement, offering significant flexibility.
• Access to cutting-edge technology and research resources.
• Dynamic and innovative work culture within a rapidly growing fintech company.