GFT-Data Scientist -IT Project Sr Analyst - C12

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success.

The data scientist will take part in the implementation of new and strategic initiatives and will focus data related tasks applying data science and algorithmic solutions. The ideal candidate has experience in solving analytical problems using quantitative approaches, a passion for data, enthusiasm to work closely with business partners on data-related projects and background in finance. This is a unique opportunity to initiate and drive data-driven projects with high business impact and visibility within a large financial organization.

Responsibilities:

• 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:

• B.Sc Mathematics/ Economics/ Computer Science / Statistics or equivalent
• 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 is a must.
• 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
• Background in Finance and experience with data visualization tools are strong advantages
• Knowledge on how to balance between theory and practice
• Self-motivated and team player that has motivation to learn and master new technologies and techniques
• Excellent communication skills with ability to explain the work in layman’s terms

Education:

Bachelor’s/University degree or equivalent work experience.

Language:

English: Advanced