Our client in Banking and Finance Industry is looking for Head of Data Analytics for Toronto/Montreal locations. This is a permanent position.
Leadership experience along with hands on experience within data science and technologies: Python, spark, Scala, Matlab. Someone who has handled massive data
The person would be handling the North American team and they are aiming to have 60-70 employees in the next 2 years
Open to all industry: Big 5s or start-up or marketing
Having connections in Universities would be preferable
Head of Data Analytics, Americas
The bank provides operational services to countries including Canada and the UK.
Our Global Banking & Markets (GBM) Data Vision
Build a world class data-driven organization that rivals our competitors and inspires our employees. Leveraging a revolutionary Data Analytics ecosystem, to generate business insights and provides great customer experience from well-managed and trusted data assets.
GBM Data Assets
Underpinning all of this business insight are data assets; data assets are curated, enriched and protected sets of data created from global, raw, structured and unstructured sources. Creating reusable data assets, through our Data Factory, allows us to expose, new, actionable insight, back to the business. Our Data Science & Engineering teams are partnering with IT to deliver this ecosystem now.
Our GBM Big Data Lake is the single largest aggregation of data ever. We have over 300 sources which equates to over 20PTB of data, with a business use case portfolio greater than 110 items. We are also utilising the latest machine learning tools and technologies to solve these hypotheses of today AND tomorrow.
GBM is seeking a Head of Data Analytics (Americas) that will lead the growth and development of the Data Centre of Excellence, based out of Toronto, Canada.
In addition to clear leadership skills, the main focus of the role is on the provision of advice and guidance on implementation of the Data Science Strategy and on implementation of prioritized business challenges using one or more analytics principles. Fundamental to the success of this role will be the ability to deliver business benefit through build and change analytic solutions / models / dashboards / reports within the Data Science Operating Model.
The secondary focus, following talent development, will be on choosing optimal solutions to use for engineering purposes, then maintaining, implementing, and monitoring them. The role holder will be responsible for integrating them with the architecture used across the company and to help build out some core services that power our Machine Learning and advanced analytics systems.
The role holder will have a reporting line to the Head of Business Insight and Analytics. It is therefore essential that the incumbent have a broad view of the latest and most effective tools and techniques to execute scalable actionable insights as well as a good understanding of the Hadoop ecosystem architecture.
Responsibilities include the following:
Advocate the benefits of using data for business insights and transforming attitudes towards using data; driving better business decisions within GBM via implementation of four types of analytical principles for prioritized business challenges: Descriptive, Diagnostic, Predictive and Prescriptive.
Develop tools and systems to help analyse and manage large (sometimes unstructured) datasets
Select and integrating any Big Data frameworks required to provide requested capabilities
Implement ELT (Extract, Load & Transform) processes (within HDP & Cloud environment)
Monitor performance and advising any necessary infrastructure changes
Construct robust data pipelines ready for Machine Learning & NLP engines
Construct and Engineering new Features and Variables which are pertinent for Predictive Models
Help develop prototype machine learning models into robust production systems.
Motivate and collaborate with the data science team
Establish and engage a trusted network of data practitioners/champions across GBM
Identification and escalation of weaknesses in the accuracy of regulatory reporting
Implementation of a risk based approach in the provision of advice and guidance
Adherence to project & program life-cycles with appropriate quality gates that enforce best data practice.
Knowledge & Experience / Qualifications include:
7+ years of experience
Experience building, leading and coaching teams in Data Science, Machine Learning, Deep Learning, Artificial Intelligence, preferably in financial & banking sector
A deep involvement in the Data Science, Machine Learning, Deep Learning, Artificial Intelligence community, with ties in local events and academia.
Experience in implementing Data Science techniques including the application of insights
Recent hands on experience with Data Science technologies (preferred experience with Python, Scala, Spark, Matlab)
Exposure to the financial & banking sector across combinations of client onboarding, risk functions, operations, Client MI, Regulatory data change, data quality, front office operations
Strong leadership capabilities
Exposure to formal Data Science process lifecycles and methodologies (e.g. CRISP-DM, KDD, TDSP)
In 2017, we were named one of the Best 50 Corporate Citizens by Corporate Knights magazine, in addition to The Worlds Best Bank by Euromoney Magazine in its annual Awards for Excellence.
Join us and benefit from the following:
Career Development: Within your current role, as well as Canadian and international opportunities
Company Reputation: Offering prestige, strength, and longevity
Business Growth: Underpinned by our drive, and the highest banking standards
International Connectivity and impact: Build global relationships and be a part of international initiatives
A diverse workforce: Reflecting our belief that diversity of thought, background and perspective makes us a stronger organization
Corporate Sustainability: We build our business for the long term by balancing social, environmental and economic considerations in the decisions we make
To apply, please send you resume to: email@example.com
|Position Type||Full Time|
|Application Deadline||April 12, 2019|
|Experience Required||10+ years|