Remote Senior Data Scientist (Financial Modeling)

Placements24; Queenstown; Hybrid; NZD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary and bonus structure

Health coverage and retirement plans

Generous paid time off

Remote work flexibility

Professional development opportunities

Job summary

Placements24 is seeking a Remote Senior Data Scientist in New Zealand to lead financial modeling initiatives, develop predictive models, and deploy ML systems across a distributed team. You will utilize Python or R, build robust data pipelines, and translate complex data insights into business strategies.

The role offers remote flexibility, strong compensation, and opportunities to impact fintech product development while collaborating with product managers, engineers, and researchers.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field.
• Minimum 5 years of professional experience in data science with ML model development and deployment.
• Proficiency in Python or R and libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy.

Responsibilities

• Design, develop, and deploy ML models for financial forecasting, risk, and fraud detection.
• Conduct rigorous statistical analysis on large datasets to uncover insights and drive decisions.
• Collaborate with product managers and engineers to define project scope and success metrics.
• Build and maintain robust data pipelines and ETL processes.
• Conduct feature engineering and model validation to ensure accuracy and performance.
• Stay updated on advances in data science, ML, and AI; mentor junior data scientists.

Skills

Python

R

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

Spark

Hadoop

Financial modeling

Education

Master's or PhD in CS/Statistics/Data Science

Tools

Spark

Hadoop

SQL

Job description

About the Role

Our client, a global leader in financial technology, is seeking an exceptional Remote Senior Data Scientist specializing in financial modeling to join their innovative team. This fully remote position offers the unique opportunity to work from anywhere while contributing to cutting-edge projects that shape the future of finance. You will be instrumental in developing, implementing, and deploying advanced predictive models, machine learning algorithms, and statistical techniques to solve complex financial challenges. This role demands a blend of deep technical expertise, a strong understanding of financial markets, and the ability to translate complex data insights into actionable business strategies. If you are passionate about data science and its application in the finance sector, this is the perfect opportunity for you.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models for financial forecasting, risk assessment, and fraud detection.
• Conduct rigorous statistical analysis on large, complex datasets to uncover insights and drive business decisions.
• Collaborate with product managers, engineers, and other stakeholders to define project scope, requirements, and success metrics.
• Build and maintain robust data pipelines and ETL processes.
• Perform data exploration, feature engineering, and model validation to ensure accuracy and performance.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Communicate complex findings and recommendations effectively to both technical and non-technical audiences through clear visualizations and presentations.
• Mentor junior data scientists and contribute to the team's technical growth.

Requirements

• Master's or PhD degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a strong focus on building and deploying machine learning models.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Solid understanding of statistical modeling, time series analysis, and machine learning algorithms.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL is essential.
• Demonstrated experience in financial modeling, risk management, or quantitative finance is highly desirable.
• Excellent problem-solving skills and a passion for tackling challenging problems.
• Strong communication and collaboration skills, with the ability to work effectively in a remote, distributed team environment.

Benefits

• This fully remote position offers a highly competitive salary and bonus structure, commensurate with experience and skills.
• The comprehensive benefits package includes excellent health coverage, retirement savings plans, and generous paid time off.
• Our client fosters a culture of innovation and continuous learning, providing ample opportunities for professional development and access to cutting-edge technologies.
• You will have the flexibility to work from your preferred location, enjoying a healthy work-life balance.