Remote Senior Data Scientist - FinTech

Placements24; LegKraal Gate; Hybrid; ZAR 2,122,000 - 2,775,000; Full time

Benefits offered by this job

Stock options

Health insurance

Remote work stipend

Unlimited PTO

Flexible hours

Job summary

Placements24 is seeking a Senior Data Scientist with FinTech specialization to join a fully remote team. Lead analytics and ML projects for banking and finance, mentor junior scientists, and collaborate across functions to drive data-driven decisions from anywhere.

The role emphasizes advanced analytics, statistical modeling, and cutting-edge ML techniques within the FinTech domain, with opportunities to impact innovative financial technology solutions.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist with a FinTech/Banking & Finance focus.
• Proficiency in Python or R and libraries such as Scikit-learn, TensorFlow, PyTorch.
• Extensive experience with SQL, data warehousing, and big data technologies (Spark, Hadoop).
• Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and deploy ML models for fraud detection, risk assessment, and customer behavior analysis.
• Extract, clean, and transform large, complex datasets from various sources.
• Conduct advanced statistical analyses and interpret results to provide actionable insights.
• Collaborate with product managers, engineers, and stakeholders to define project requirements and deliver solutions.
• Mentor and guide junior data scientists, fostering learning and innovation.
• Stay abreast of advancements in data science, ML, and AI in FinTech.

Skills

Python

R

SQL

Statistical modeling

Machine learning

Education

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

Tools

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

About the Role

Our client is seeking an accomplished Senior Data Scientist with a specialization in FinTech to join their fully remote team. This role is pivotal in leveraging advanced analytics, machine learning, and statistical modeling to drive innovation and provide strategic insights within the Banking & Finance sector. You will lead complex data projects, mentor junior scientists, and collaborate with cross-functional teams to solve challenging business problems and enhance our client's data-driven capabilities. This is an excellent opportunity for an experienced professional to work from anywhere and make a significant impact on cutting-edge financial technology solutions.

Key Responsibilities

• Design, develop, and deploy machine learning models for areas such as fraud detection, risk assessment, and customer behavior analysis.
• Extract, clean, and transform large, complex datasets from various sources.
• Conduct advanced statistical analysis and interpret results to provide actionable insights.
• Collaborate with product managers, engineers, and business stakeholders to define project requirements and deliver solutions.
• Mentor and guide junior data scientists, fostering a culture of learning and innovation.
• Stay abreast of the latest advancements in data science, machine learning, and AI, particularly within the FinTech domain.

Requirements

• Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong focus on FinTech or Banking & Finance .
• Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Extensive experience with SQL, data warehousing, and big data technologies (e.g., Spark, Hadoop).
• Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical audiences.

Benefits

• Highly competitive salary and stock options.
• Comprehensive health, dental, and vision insurance.
• Generous remote work stipend and home office setup budget.
• Unlimited paid time off and flexible working hours.
• Opportunities to work on challenging and impactful projects in the evolving FinTech landscape.