Data Scientist - Finance

Placements24; Polokwane; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote work

Health insurance

Professional development

Flexible schedule

Job summary

Placements24 is seeking a highly skilled Data Scientist focused on finance for a fully remote position. You will leverage advanced analytics, ML, and statistical modeling to derive insights from financial data and support risk modeling, fraud detection, and customer analytics.

You will collaborate with business stakeholders, design experiments, and communicate findings through clear visualizations and reports, staying ahead of fintech innovations while enabling data-driven decisions from

Qualifications

• Master's or PhD in a quantitative field.
• 4+ years of finance-focused data science experience.
• Proficiency in Python or R and libraries like Pandas and Scikit-learn.
• Experience with SQL/NoSQL and big data technologies (Spark/Hadoop).
• Strong understanding of financial markets and risk management.

Responsibilities

• Develop and implement advanced statistical and machine learning models for financial forecasting, risk assessment, and anomaly detection.
• Clean, process, and analyze large, complex datasets from various financial sources.
• Collaborate with business stakeholders to define analytical requirements and translate them into data science solutions.
• Design and conduct experiments to test hypotheses and evaluate model performance.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences through visualizations and reports.
• Stay abreast of the latest advancements in data science, machine learning, and financial technology.

Skills

Python

R

Pandas/NumPy

Scikit-learn

TensorFlow

SQL

NoSQL

Spark

Hadoop

Financial analytics

Education

Master's in Data Science

PhD in quantitative field

Tools

Spark

Hadoop

TensorFlow

NoSQL databases

Job description

About the Role

Our client is seeking a highly skilled and innovative Data Scientist specializing in finance for a fully remote position. This role is critical for leveraging advanced analytics, machine learning, and statistical modeling to derive actionable insights from complex financial data. You will work on challenging projects related to risk modeling, fraud detection, customer analytics, and algorithmic trading, contributing directly to strategic business decisions. This is an exceptional opportunity for a data-savvy professional to shape data-driven strategies within a leading financial organization, working from anywhere.

Key Responsibilities

• Develop and implement advanced statistical and machine learning models for financial forecasting, risk assessment, and anomaly detection.


• Clean, process, and analyze large, complex datasets from various financial sources.


• Collaborate with business stakeholders to define analytical requirements and translate them into data science solutions.


• Design and conduct experiments to test hypotheses and evaluate model performance.


• Communicate complex findings and recommendations clearly to both technical and non-technical audiences through visualizations and reports.


• Stay abreast of the latest advancements in data science, machine learning, and financial technology.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.


• Minimum of 4 years of professional experience in data science, with a focus on financial applications.


• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).


• Experience with SQL and NoSQL databases, as well as big data technologies (e.g., Spark, Hadoop).


• Solid understanding of financial markets, products, and risk management principles.


• Excellent analytical, problem-solving, and communication skills.

Benefits

• Highly competitive salary and performance-based bonuses.


• Comprehensive health, dental, and vision insurance plans.


• Generous paid time off and a flexible work schedule.


• Significant opportunities for professional development and continuous learning.


• Fully remote role, allowing for unparalleled work-life integration from any location, supporting our presence previously in Polokwane.