Senior Data Scientist - Financial Risk Analytics

Placements24; Richards Bay; Hybrid; ZAR 900.000 - 1.600.000; Vollzeit

Benefits dieser Stelle

Remote-first

Health benefits.

Bonuses

Professional development

Flexible schedule

Zusammenfassung

Placements24 is seeking a Senior Data Scientist to drive innovation in financial risk analytics. This remote role in South Africa requires deep expertise in quantitative finance, ML, and statistical modeling.

You will work with massive datasets, build end-to-end pipelines, and collaborate across risk, business, and tech teams to strengthen risk management and regulatory compliance. The ideal candidate has a PhD or Master’s in a quantitative field and 6+ years of experience in financial risk

Qualifikationen

• PhD or Master's degree in a quantitative field such as Statistics, Mathematics, CS, or Economics
• Minimum of 6 years of hands-on experience as a Data Scientist focusing on financial risk analytics
• Proven expertise in statistical modeling, ML algorithms, and experimental design

Aufgaben

• Design, develop, and deploy advanced statistical and ML models for credit, market, and operational risk
• Perform exploratory data analysis on large datasets to uncover risk-relevant patterns
• Build and maintain robust data pipelines for model training and inference
• Collaborate with risk management, business, and tech teams to define DS requirements
• Validate and back-test model performance and regulatory compliance
• Present complex findings clearly to technical and non-technical audiences

Kenntnisse

Statistical modeling

Machine learning

Experimental design

Data visualization

Communication

Remote collaboration

Ausbildung

PhD or Master's in Statistics/Mathematics/CS/Economics or related

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

AWS

Azure

GCP

Jobbeschreibung

About the Role

Our client, a globally recognized leader in financial services, is seeking a highly accomplished Senior Data Scientist to drive innovation in financial risk analytics. This is a fully remote position, allowing you to leverage your expertise from anywhere in South Africa. You will be instrumental in developing advanced machine learning models and statistical techniques to identify, quantify, and mitigate complex financial risks. This role demands a deep understanding of quantitative finance, robust data manipulation skills, and the ability to translate intricate data insights into actionable strategies for business leaders. You will work with massive datasets, state-of-the-art tools, and collaborate with cross-functional teams to enhance risk management frameworks and ensure regulatory compliance. This is a unique opportunity to make a significant impact on the firm's risk posture and contribute to the development of groundbreaking analytical solutions in a remote-first setting. The position requires a proactive, curious, and results-oriented individual.

Key Responsibilities

• Design, develop, and deploy advanced statistical and machine learning models for credit risk, market risk, and operational risk.
• Perform exploratory data analysis on large, complex datasets to uncover insights and identify patterns relevant to financial risk.
• Build and maintain robust data pipelines for model training and inference.
• Collaborate with risk management, business, and technology teams to define data science requirements and deliver impactful solutions.
• Validate and back-test model performance, ensuring accuracy, reliability, and regulatory compliance.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences through reports and presentations.
• Stay current with the latest advancements in data science, machine learning, and financial risk management techniques.
• Mentor junior data scientists and contribute to the growth of the data science community within the organization.
• Develop and implement strategies for model monitoring and lifecycle management.

Requirements

• PhD or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Minimum of 6 years of hands-on experience as a Data Scientist, with a significant focus on financial risk analytics.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and working with large datasets using big data technologies (e.g., Spark, Hadoop) is highly desirable.
• Strong understanding of financial markets, instruments, and risk management principles.
• Excellent data visualization and communication skills.
• Ability to work independently and as part of a distributed team.
• Experience with cloud platforms (AWS, Azure, GCP) for data science workloads is a plus.

Benefits

• An exceptional remuneration package with an annual salary of up to R .
• Performance-based bonuses and incentives.
• Comprehensive health and wellness benefits.
• Generous professional development allowance.
• The full flexibility and autonomy of a 100% remote work arrangement.
• Opportunity to lead impactful projects in financial risk.
• Access to cutting-edge technology and a world-class data science infrastructure.