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Data Scientist
  • Python
  • Spark
  • PySpark
  • SQL
  • Machine Learning
  • Big Data
  • Excel
  • Matlab
  • Data Visualization
  • Modeling
  • Scala
  • Deep Learning
  • Reinforcement Learning
  • Keras
Tangerine Bank
Toronto, ON
174 days ago

Join the Global Community of Scotiabankers to help customers become better off.


Purpose:

The Data Science and Analytics team has been focused on building out a library of sophisticated models and the requisite infrastructure to enhance data-driven decision making across the bank. Our focus is on Wholesale Banking and Treasury and our team consists of highly accomplished business professionals who blend expertise in mathematics, computer science, and statistics to architect and deliver innovative technical solutions driving business value.


We are seeking an enthusiastic and detail oriented scientist with experience in applied graph theory, artificial intelligence, and/or big data to expand our capital markets modeling efforts. The individual must be adept at translating and diving into complex and unfamiliar concepts with a curiosity around financial markets. The individual will work with a diverse group of highly quantitative individuals and must excel in a collaborative environment. If you are passionate and driven to excel in business development, artificial intelligence, the user experience, and close collaboration with decision makers, this is the place for you.



Key Accountabilities:


A successful candidate will be accountable for the end-to-end implementation and the thoughtful iterative enhancement of complex models to various lines of business


  • Research and development of predictive models using state-of-the-art data science in a diverse and established capital markets business
  • Structure and organize big data sets from a variety of noisy sources with the goal of discovering valuable and actionable insights
  • Think strategically to architect new modeling approaches to complex problems

Requirments & Qualifications:

  • 1-5 Years of experience, research, building and implementing advanced models
  • In depth experience with statistical programming languages like Python, R, MATLAB, Mathematica, etc. with a strong preference for experience using advanced tools such as TensorFlow, Torch, Keras, Caffe, PyTorch, H2O, etc.
  • Strong preference towards hands-on experience in working big data technologies such as Hive. Must know SQL (any variations thereof), PySpark and/or Scala
  • Has in-depth knowledge on at least 1 of the following disciplines and familiarity in 2-4 more: Artificial Intelligence, Cognitive Science, Deep Learning, Reinforcement Learning, Natural Language Processing, and Graphical models.
  • Some background experience in financial markets with experience in Risk, Capital Markets, Treasury or other relevant field
  • Excellent presentation and data visualization skills

Education:


  • Required minimum education: Master's in technical discipline such as (but not limited to) Mathematics, Econometrics, Operations Research, Computers Science, Statistics, Machine Learning, and/or Artificial Intellignece
  • Relevant PhD preferred but not required
  • Relevant research and work experience is preferred

Location(s): Canada : Ontario : Toronto

As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank’s six guiding sales practice principles to ensure they act with honesty and integrity.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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