VP / AVP, Data Scientist, Group Finance Corporate Treasury, Group Finance
Singapore, Singapore | Nationally Chartered Bank
Industry:Banking / Investment Banking
Functions:Accounting / Control
Financial Services Professional
IT / Information Technology
Job Description:92 people have viewed this job
To design and develop algorithms/models for addressing specific business problems around the areas of Balance Sheet and Capital Management
To explore and build up long term capabilities in various domains such as reinforcement learning, stochastic optimization, Bayesian frameworks, deep learning and machine learning
To partner with business leads to identify opportunities for collaboration and development of analytics solutions
To operationalize algorithms/models into re-usable libraries for the team
To automate the algorithms/models by leveraging on existing tools and frameworks
Curious individual that has a strong interest in exploring various technical domains in the areas of analytics and data science.
3-7 years of experience in applied statistical learning, machine learning and data science with tangible outcomes.
Academic background with industrial research experience will be strongly preferred.
Excellent written and communication skills, especially one who can explain complicated models and simplify them.
A keen learner who desires to learn and acquire new knowledge both in business and technical domains, as well as to acquire proficiency in new tools, languages and techniques.
A strong team player who can contribute as an individual, while being a mentor to other team members through sharing of knowledge.
Extremely proficient in Python development, with in-depth knowledge of libraries such as Scikit learn, TensorFlow, PyTorch, Keras
Proficient in software development, especially in big-data tools such as Spark, Hive etc.
Master’s or PhD in Computer Science, Statistics, Math, Engineering or other quantitative disciplines