Data Scientist - Financial Analytics

Placements24; Queenstown; Híbrido; NZD 85.000 - 116.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Performance bonuses

Medical aid

Retirement fund contributions

Hybrid work arrangement

Descripción de la vacante

PLACEMENTS24 seeks a skilled Data Scientist to drive analytics in Queenstown, SA, focusing on financial datasets, ML models, and predictive analytics. You will collaborate with stakeholders to translate challenges into data-driven solutions and deliver measurable business value.

The role demands strong Python/R, SQL, and cloud experience, plus ability to communicate complex results to diverse audiences. Hybrid work arrangement offered.

Formación

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 4 years of experience as a Data Scientist or in a similar analytical role, preferably within banking/finance.
• Strong programming skills in Python or R with libraries for data manipulation, ML, and visualization.
• Proficiency in SQL and experience with big data technologies (Spark, Hadoop).
• Solid understanding of statistical modeling, ML algorithms, and experimental design.
• Excellent problem-solving and communication skills.

Responsabilidades

• Develop, implement, and deploy ML models for predictive analytics, fraud detection, risk assessment, and customer segmentation.
• Clean, transform, and analyze large, complex financial datasets from multiple sources.
• Design and conduct A/B tests and experiments to evaluate model/strategy impact.
• Collaborate with engineering to integrate DS solutions into production systems.
• Visualize data and model results for technical and non-technical audiences.
• Stay updated with advances in DS, ML, AI, and finance domains.
• Contribute to data infrastructure and best practices for data analysis.
• Identify opportunities to apply DS techniques to banking/finance business problems.
• Document methodologies, findings, and code for reproducibility and knowledge sharing.

Conocimientos

Python

R

SQL

Machine learning

Statistical modeling

Communication skills

Pandas

Scikit-learn

TensorFlow

Educación

Master's or PhD in CS/Statistics/Math/Physics

Herramientas

Spark

Hadoop

Cloud platforms (AWS/Azure/GCP)

Matplotlib

Descripción del empleo

About the Role

Our client, a leading innovator in financial technology, is seeking a highly skilled Data Scientist to join their analytics division in Queenstown, Eastern Cape . This role is pivotal in leveraging advanced data analytics, machine learning, and statistical modeling to extract valuable insights from complex financial datasets. The Data Scientist will be instrumental in driving data-informed decision-making, optimizing financial strategies, and developing predictive models for the banking and finance sector. This is a unique opportunity for a data expert to contribute to cutting-edge projects in a dynamic and growing industry. You will work closely with business stakeholders to understand their challenges and translate them into data science solutions that deliver measurable business value. The role demands strong technical expertise combined with the ability to communicate complex findings effectively.

Key Responsibilities

• Develop, implement, and deploy machine learning models for predictive analytics, fraud detection, risk assessment, and customer segmentation.


• Clean, transform, and analyze large, complex datasets from various sources within the financial domain.


• Design and conduct A/B tests and other experiments to evaluate the impact of new models or strategies.


• Collaborate with engineering teams to integrate data science solutions into production systems.


• Visualize data and model results effectively for technical and non-technical audiences.


• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.


• Contribute to the development of data infrastructure and best practices for data analysis.


• Identify opportunities to apply data science techniques to solve business problems within the banking and finance industry.


• Document methodologies, findings, and code for reproducibility and knowledge sharing.

Requirements

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


• Minimum of 4 years of experience as a Data Scientist or in a similar analytical role, preferably within the banking and finance sector.


• Strong programming skills in Python or R, including relevant libraries for data manipulation, machine learning, and visualization (e.g., Pandas, Scikit-learn, TensorFlow, Keras, Matplotlib).


• Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).


• Solid understanding of statistical modeling, machine learning algorithms, and experimental design.


• Excellent problem-solving skills and the ability to think critically.


• Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.


• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.


• Knowledge of financial markets and risk management principles is highly desirable.

Benefits

• Our client offers a competitive salary, performance bonuses, comprehensive medical aid, and retirement fund contributions.


• This role is based in Queenstown, Eastern Cape , with a Hybrid work arrangement.


• Employees benefit from a stimulating work environment, opportunities for professional development, and the chance to work on impactful projects in the rapidly evolving world of fintech and banking and finance .