Vacancy expired!
- Mandatory Certificate: - PCAP - Certified Associate in Python Programming
- Formulate financial business use cases in machine learning terms
- Define tests and experiments that aim to assess the relevancy and feasibility of machine learning solutions to business use cases
- Assess data availability and data quality
- Understand our data and apply techniques for feature engineering and selection
- Apply state-of-the-art machine learning techniques to financial data such as model selection, training, testing and validation
- Compile and present complex information using data visualization tools such as interactive notebooks or single-page application
- Create scalable data models which can be leveraged across businesses and sectors.
- Work closely with product owners to develop client solutions for new and existing channels
- Establish effective working relationships directly with your stakeholders
- Grow our catalogue of common assets, such as code templates, libraries, utilities, services, etc. Qualifications:
- At least 3/4 years of experience as a data scientist
- Highly proficient in Python and relevant libraries
- Knowledge of a variety of machine learning techniques (exploratory data analysis, predictive modeling, supervised/unsupervised machine learning, anomaly detection) and their real-world advantages/drawbacks - Must.
- Background in finance is a strong advantage
- Experience with data visualization tools – an advantage
- Analytical, statistical, and programming skills to collect, analyze, and interpret large data sets
- Proficiency in using query languages, such as SQL, Spark DataFrame API, etc. - an advantage
- Experience with Deep Learning, particularly when applied to financial data – an advantage
- You should know how to balance between theory and practice
- Self-motivated and team player that has the drive to learn and master new technologies and techniques.
- You are an excellent communicator, able to explain your work in layman’s terms
Vacancy expired!