My client is looking for a highly-motivated person to lead the Data Science Team and support in developing cutting edge fraud and risk management solutions.
Responsibilities
Lead the development and validation of high-impact statistical and machine learning quantitative models used to enhance product features and solutions of real-world issues
Contribute to product design and architecture planning of major systems and features
Guide and mentor a multi-disciplined Data Science and Data Engineering team to forge a research-oriented and collaborative culture through innovative technology implementation at scale
Work in a fast-paced environment with tight deliverable timeframes and able to communicate effectively with multiple stakeholders
Requirements
Seven or more years of relevant work experience (including at least one year of exposure to payments, banking or FinTech)
BSc, Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
Advanced knowledge of statistical and machine learning models: Logistic
Regression, Support Vector Machines, random forests, XGBoost, Deep Learning models (CNNs/RNNs)
Proficient in big data computing skills: scikit-learn in Python, Pandas, Hadoop, Spark, SQL, etc.
Proficiency in using Amazon Web Services
Proficiency in using any graph databases: Neo4J, ArangoDB, AllegroGraph, JanusDB, etc.
Additional advantage with proficiency in Natural Language Processing
Additional advantage with proficiency in using Keras, TensorFlow, Caffe, Torch/PyTorch, Spark MLlib, or any other Deep Learning framework
Track record in leading data science projects and delivering from end-to-end.
Strong communication and interpersonal skills with the ability to convey your message to team members and other stakeholders
Job Reference Number: 5R7WV5
All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.
Kindly email your resume in a detailed Word format to syeulgi.choi@peopleprofilers.com
We regret that only shortlisted candidates will be notified.
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