Senior Data Scientist - Financial Analytics

Placements24; East London; Hybrid; ZAR 900.000 - 1.600.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Medical insurance

Dental insurance

Vision insurance

Retirement matching

Professional development

Hybrid work model

Cutting-edge tools

Collaborative culture

Zusammenfassung

Placements24 is seeking a Senior Data Scientist for our client, a forward-thinking financial institution, in East London. You will develop advanced ML models, analyze large financial datasets, and deliver actionable insights to guide risk, customer analytics, and fraud initiatives.

The role requires a PhD/masters in a quantitative field and 4+ years of data science experience, with Python or R proficiency and strong communication skills for cross-functional collaboration.

Qualifikationen

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or related quantitative field.
• Minimum of 4 years of experience as a Data Scientist, with focus on financial analytics.
• Strong programming skills in Python or R with relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).

Aufgaben

• Develop and implement advanced statistical models and machine learning algorithms for predictive analytics, segmentation, and forecasting.
• Process and analyze large, complex datasets from diverse sources.
• Identify trends and insights within financial data to inform strategy.
• Design and conduct A/B tests and experiments to measure impact.
• Build dashboards and reports to communicate findings to stakeholders.
• Collaborate with business units to identify data-driven solutions.
• Stay up-to-date with data science advances in ML/AI.
• Ensure data quality and integrity throughout analysis.
• Mentor junior data scientists and contribute to team growth.
• Present findings to technical and non-technical audiences.

Kenntnisse

Python

R

SQL

Machine learning

Data visualization

Communication

Ausbildung

Master's degree in Statistics/CS/Math/Economics

PhD in a quantitative field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Tableau/Power BI

Jobbeschreibung

About the Role

Our client, a forward-thinking financial institution, is seeking a highly analytical Senior Data Scientist to join their team in East London, Eastern Cape, ZA . This hybrid role offers a dynamic work environment, blending in-office collaboration with remote flexibility. You will leverage advanced statistical and machine learning techniques to extract actionable insights from large datasets, driving strategic decision-making across various business functions, including risk management, customer analytics, and fraud detection. The ideal candidate will possess strong programming skills, a deep understanding of data science methodologies, and a proven ability to translate complex findings into clear, business-oriented recommendations. Your expertise will be key to unlocking the potential of our data assets.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms for predictive analytics, segmentation, and forecasting.
• Clean, process, and analyze large, complex datasets from various sources.
• Identify key trends, patterns, and insights within financial data to inform business strategy.
• Design and conduct A/B tests and other experiments to measure the impact of initiatives.
• Build data visualization dashboards and reports to communicate findings to stakeholders.
• Collaborate with business units to understand their challenges and identify data-driven solutions.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Ensure data quality and integrity throughout the analytical process.
• Mentor junior data scientists and contribute to the team's technical growth.
• Present findings and recommendations to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 4 years of experience as a Data Scientist, with a focus on financial analytics.
• Strong proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Solid experience with SQL for data extraction and manipulation.
• Deep understanding of statistical modeling, machine learning algorithms (regression, classification, clustering, etc.), and experimental design.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
• Ability to work independently and collaboratively in a hybrid work setting.
• Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.

Benefits

• Competitive salary and performance-based bonus.
• Comprehensive medical, dental, and vision insurance.
• Generous retirement savings plan with company matching.
• Opportunities for professional development, including training and conferences.
• Flexible hybrid work model promoting work-life balance.
• Access to cutting-edge data analytics tools and platforms.
• A collaborative and innovative team culture.
• Career advancement opportunities within a growing financial organization.