Data Scientist - Financial Analytics

Placements24; Upington; Hybrid; ZAR 1,918,000 - 2,878,000; Full time

Benefits offered by this job

Fully remote work environment

Flexible hours

Professional development budget

Job summary

Placements24 is seeking a highly skilled Data Scientist specializing in financial analytics to join a fully remote team. You will develop advanced models for forecasting, risk assessment, anomaly detection, and algorithmic strategies, while processing large financial datasets from diverse sources.

You will collaborate with global stakeholders, design experiments, and communicate insights effectively. A PhD or Master's in a quantitative field and 5+ years of experience, with Python or R and SQL,

Qualifications

• Master's or Ph.D. in a quantitative field such as CS, Statistics, Mathematics, Physics, or Economics.
• 5+ years of professional experience as a Data Scientist, focused on financial analytics or modeling.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, PyTorch.
• Strong SQL and big data experience (Spark, Hadoop).
• Deep understanding of statistical modeling and ML in finance.

Responsibilities

• Develop statistical models and ML algorithms for financial forecasting, risk assessment, and anomaly detection.
• Process and analyze large, complex financial datasets from varied sources.
• Design and run A/B tests to evaluate model performance and impact.
• Translate business problems into data science solutions and collaborate with stakeholders.
• Communicate insights clearly to technical and non-technical audiences.

Skills

Python

R

SQL

Machine Learning

Data Visualization

Education

Master's or Ph.D. in quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

About the Role

Our client is seeking a highly skilled and innovative Data Scientist specializing in financial analytics to join their fully remote team. This role is pivotal in leveraging vast datasets to extract actionable insights, build predictive models, and drive data-informed decisions across the organization. You will work on challenging problems related to risk modeling, fraud detection, customer behavior analysis, and algorithmic trading strategies. This is an exceptional opportunity for a quantitative expert to work from anywhere, collaborating with a global team and utilizing cutting-edge technologies to shape the future of financial services.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms for financial forecasting, risk assessment, and anomaly detection.
• Clean, process, and analyze large, complex financial datasets from various sources.
• Design and conduct A/B tests and other experiments to evaluate model performance and business impact.
• Collaborate with business stakeholders to define analytical requirements and translate business problems into data science solutions.
• Communicate complex findings and insights clearly and effectively to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and financial technologies.

Requirements

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Economics.
• 5+ years of professional experience as a Data Scientist, with a focus on financial analytics or modeling.
• Proficiency in programming languages like Python or R and 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, machine learning techniques, and their application in finance.
• Excellent problem-solving abilities and a passion for uncovering insights from data in a remote setting .

Benefits

• Highly competitive salary and substantial performance-based bonuses.
• Fully remote work environment with flexible hours.
• Comprehensive health, dental, and vision insurance plans.
• Generous budget for professional development, conferences, and training.
• Access to state-of-the-art computational resources and tools.