Senior Data Scientist - Financial Modeling

Placements24; Mbombela (Nelspruit); Híbrido; ZAR 2 030 000 - 3 046 000; Tempo integral

Resumo da oferta

Placements24 is seeking a Senior Data Scientist with a focus on Financial Modeling for a fully remote role. You will design and deploy predictive models on large financial datasets, delivering insights to drive strategic decisions in Banking & Finance.

You will collaborate with product managers, engineers, and stakeholders, mentor junior data scientists, and stay ahead of machine learning and time-series techniques for risk modeling. This is a remote-first opportunity with global teams.

Qualificações

• PhD or Master’s in a quantitative field required.
• 6+ years of professional Data Science experience in finance/predictive analytics.
• Proficiency in Python or R and libraries such as scikit-learn, TensorFlow, PyTorch, Pandas.
• Experience with big data tech (Spark, Hadoop) and SQL.

Responsabilidades

• Design, develop, and implement sophisticated statistical and machine learning models for financial forecasting, risk assessment, fraud detection, and customer behavior analysis.
• Collaborate with product managers, engineers, and business stakeholders to translate problems into analytical solutions.
• Perform complex data mining and analysis on large datasets to extract insights and trends.
• Build and maintain data pipelines and analytical frameworks to support model deployment and monitoring.
• Validate and test model performance for accuracy, reliability, and scalability.
• Communicate findings clearly to technical and non-technical audiences via visualizations and reports.
• Stay updated on advancements in data science, machine learning, and financial modeling techniques.
• Mentor junior data scientists and contribute to the growth of the data science practice.

Conhecimentos

Python

R

Statistical modelling

Machine learning

Data visualization

Experiment design

Formação académica

PhD or Master’s in a quantitative field

Ferramentas

Spark

Hadoop

SQL

Pandas

TensorFlow

PyTorch

Descrição da oferta de emprego

About the Role

Our client, a forward-thinking leader in the Banking & Finance sector, is seeking a highly skilled Senior Data Scientist with a specialization in Financial Modeling to join their innovative team. This is a fully remote position, offering unparalleled flexibility to candidates across the globe who possess exceptional analytical and predictive modeling capabilities. You will be instrumental in leveraging vast datasets to develop advanced financial models, uncover actionable insights, and drive strategic decisions. This role demands a profound understanding of statistical techniques, machine learning algorithms, and their application to complex financial challenges. You will contribute to cutting-edge projects, pushing the boundaries of data-driven finance from anywhere.

Key Responsibilities

• Design, develop, and implement sophisticated statistical and machine learning models for financial forecasting, risk assessment, fraud detection, and customer behavior analysis.
• Collaborate with product managers, engineers, and business stakeholders to define data-driven strategies and translate business problems into analytical solutions.
• Perform complex data mining and analysis on large, diverse datasets to extract valuable insights and identify trends.
• Build and maintain robust data pipelines and analytical frameworks to support model deployment and monitoring.
• Validate and test model performance, ensuring accuracy, reliability, and scalability.
• Communicate complex findings and recommendations effectively to both technical and non-technical audiences through clear visualizations and reports.
• Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.
• Mentor junior data scientists and contribute to the growth of the data science practice.

Requirements

• Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
• Minimum of 6 years of professional experience as a Data Scientist, with a strong focus on financial modeling and predictive analytics.
• Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Deep understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis, deep learning), and experimental design.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Proven ability to develop and deploy models into production environments.
• Excellent problem-solving, analytical, and critical thinking skills.
• Outstanding communication and collaboration skills, essential for a remote team environment.

Benefits

This is a remote-first position offering a highly competitive salary, performance bonuses, and comprehensive health and retirement benefits. Our client invests heavily in employee growth, providing access to cutting-edge technology, continuous learning resources, and opportunities to work on challenging, impactful projects within the Banking & Finance domain. The fully remote nature of this role provides ultimate flexibility and work-life balance for professionals passionate about data science and financial innovation.