Remote Senior Data Scientist - Financial Markets

Placements24; Queenstown; Hybrid; NZD 150,000 - 230,000; Full time

Benefits offered by this job

Health coverage

Retirement plan

Generous paid time off

Professional development opportunities

Job summary

Placements24 is seeking a Senior Data Scientist for a fully remote fintech product team. You will leverage large-scale datasets to build predictive models and deliver actionable insights for a global customer base.

The role demands a PhD or MSc in a quantitative field, 7+ years in data science within financial services, and deep Python or R expertise with libraries such as scikit-learn, TensorFlow, PyTorch and Pandas.

Qualifications

• PhD or MSc in a quantitative field such as CS, stats, math, physics, or related.
• 7+ years of professional data science experience in fintech or financial services.
• Proficiency in Python or R and data science libraries (scikit-learn, TensorFlow, PyTorch, Pandas).

Responsibilities

• Develop and deploy ML models for fraud detection, risk, segmentation, and algo trading.
• Clean, transform, and analyze large financial datasets.
• Design and run A/B tests to evaluate models and features.
• Collaborate with product managers, engineers, and data scientists to define requirements.
• Communicate findings with visualizations to technical and non-technical stakeholders.
• Stay updated on ML/AI research and best practices.
• Contribute to data science infra and best practices.
• Mentor junior data scientists and grow the team.
• Identify opportunities to leverage data to drive business value.

Skills

Senior data science

Problem solving

Independent work

Remote collaboration

Education

PhD or MSc in quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

Spark

Hadoop

SQL

Job description

About the Role

Our client, a globally recognized fintech firm, is seeking a highly skilled Senior Data Scientist to join their innovative, remote-first product development team. This role is instrumental in leveraging vast datasets to derive actionable insights, build predictive models, and enhance financial products for a global customer base. The position is fully remote, requiring a candidate who thrives in an autonomous environment and excels at virtual collaboration. You will work with cutting-edge technologies and large-scale data infrastructure to solve complex financial challenges. This is an unparalleled opportunity to contribute to the future of finance from anywhere, with the ideal candidate potentially being located in or near Queenstown, Eastern Cape , but no physical presence is mandatory.

Key Responsibilities

• Develop and deploy advanced machine learning models for applications such as fraud detection, risk assessment, customer segmentation, and algorithmic trading.
• Clean, transform, and analyze large, complex datasets from various financial sources.
• Design and conduct A/B tests and other experiments to evaluate model performance and product features.
• Collaborate closely with product managers, engineers, and other data scientists to define project requirements and deliver solutions.
• Communicate complex findings and insights to both technical and non-technical stakeholders through compelling visualizations and reports.
• Stay abreast of the latest research and advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development and maintenance of our data science infrastructure and best practices.
• Mentor junior data scientists and contribute to the growth of the data science team.
• Identify new opportunities for leveraging data to drive business value and improve customer experience.

Requirements

• PhD or Master's degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics, or a related field.
• Minimum of 7 years of professional experience in data science, with a focus on financial services or fintech.
• Proficiency in programming languages like Python or R, and extensive experience with data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
• Experience working with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
• Familiarity with SQL and database technologies.
• Excellent problem-solving skills and the ability to translate business problems into data science solutions.
• Strong communication and presentation skills, with the ability to explain technical concepts clearly.
• Demonstrated ability to work independently and collaboratively in a remote team setting.

Benefits

• This fully remote position offers a highly competitive salary and bonus structure, commensurate with experience and performance.
• Employees benefit from comprehensive health coverage, a robust retirement savings plan, and generous paid time off.
• Opportunities for professional development, attending conferences, and engaging with a vibrant global community are provided.
• This role allows for significant flexibility and autonomy, making it ideal for experienced data professionals anywhere, with proximity to Queenstown, Eastern Cape , being a plus but not a requirement.