Data Scientist, Recovery and Resolution Planning

Job title: Data Scientist, Recovery and Resolution Planning

Job description: What is the opportunity?

The Data Scientist, Recovery and Resolution Planning (RRP) will develop, design, and implement organization-wide cutting-edge data analytics solutions as critical member of the Enterprise RRP team. Leveraging leading edge technologies and varied data sets, you will build machine learning and other analytical products to facilitate informed decision-making and business process optimization in order to realize meaningful efficiencies while also improving the user experience. This is a multi-faceted data science role that includes elements of data engineering; data science; financial / risk modelling and other types of analytical solutions; and provides strong exposure to the bank industry from a variety of perspectives.

What will you do?

• Work on challenging and research-based initiatives using advanced machine learning and other statistical methods focused on tangible value added outcomes
• Collaborate effectively with colleagues to identify business opportunities and designing innovative solutions to optimize processes and promote informed decision-making
• Prepare and integrate large and varied types of data (structured/non-structured, text/financial) from source systems to generate value for downstream analytics
• Implement machine learning models, data mining methods, and statistical analysis
• Leverage visualization tools/packages to create powerful representations of results
• Produce data-driven insights to help in informed decisions and actions by telling a convincing story and effectively communicate findings to business partners and executives as well as collaborate with the IT development team to deploy production-scale solutions
• Quickly learn new methods, tools and technologies presented in research communities to implement and adapt within the daily analytics exercises
• Contribute to the development of a data strategy that will effectively articulate the RRP program’s data needs while streamlining process and providing a platform for future analytics

What do you need to succeed?

Must Have:

• Undergraduate degree in computer science, statistics, quantitative finance or other science, technology, engineering and mathematics (STEM) fields
• Expert in Python programming to write production-ready codes and software packages in addition to experience with Natural Language Processing (NLP) and text analytics methods and packages, particularly BERT-based models
• Strong data profiling, cleaning, mining and technical documentation skills as well as strong communication and presentation skills
• Experience developing machine learning models and other data analytics for real business problems, and big data technologies and parallel processing techniques (e.g. Hadoop, Spark)
• Sound knowledge and experience of different deep neural networks architectures and transfer learning

Nice to Have:

• Graduate degree in computer science, statistics, quantitative finance or other STEM fields
• Solid understanding of how to deploy container-based virtualization e.g. kubernetes or docker
• Experience with machine learning operations (MLOps) to build end-to-end pipeline and deploying models in production, and creation of graphical user interfaces (GUIs) using python packages
• Business intelligence (BI) reporting using Tableau
• Proficient in Linux environment, shell scripting, and Git

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to take on progressively greater accountabilities

RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

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JOB SUMMARY
City: Toronto
Address: 155 Wellington St W
Work Hours/Week: 37.5
Work Environment: Office
Employment Type: Permanent
Career Level: Experienced Hire/Professional
Pay Type: Salaried
Required Travel (%): 0
Exempt/Non-Exempt: N/A
People Manager: No
Application Deadline: 12/24/2021
Platform: Group Risk Management
Req ID: 434686
Ad Code(s):

Company: Royal Bank of Canada

Expected salary:

Location: Toronto, ON

Job date: Tue, 14 Dec 2021 23:40:59 GMT

Job Source: Careerjet.ca

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