Enterprise Finance Senior Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Come Work with Us!

At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

Job Title

Enterprise Finance Senior Data Scientist

Job Description

What will you do?

• Analyze, design and implement data science solutions using RBC’s enterprise suite of analytics tools such as Data360 Analyze and Dataiku
• Build models to test business hypotheses. 
• Prepare and integrate large and varied datasets, build models using and deploy proof of concept solutions.
• Collaborate with business partners to produce insights from business-defined requirements and hypotheses.
• Effectively communicate findings to business partners. Leverage advanced visualization tools (ex. Tableau) to create powerful representations of results
• Analyze processes, gather requirements and look for solutions to improve
• Build automations and see them through the cycles of UAT, implementation in production, warranty period support and hand over to business as usual
• Support automations and models built within team already as needed

Must have

• BSc. in Mathematics, Statistics or Computer Science
• 0-2 years technical experience working with big data technologies, statistical methods and automation tools
• Strong analytical, problem solving and logical thinking skills.
• Ability to perform complex data analysis on large volumes of data and present findings to stakeholders.
• Strong knowledge of design, development, and implementation experience utilizing data science technologies.
• Programming skills and some knowledge of Python, Java and SQL with sound knowledge of standard PC software (ex. Excel)
• Ability to quickly and efficiently adapt to new concepts.
• Good organizational, coordination, written and interpersonal skills

Nice-to-have

• Masters in Mathematics, Statistics or Computer Science
• Strong coding abilities.
• Familiar with data extract, transform and load processes with a variety of data types.
• Experience with big data technologies – Hadoop (Pig, Hive), SQL databases, parallel processing techniques and Apache Spark
• Experience with Data360 Analyze, Dataiku and Tableau

Job Summary

Working with Director Finance Data and Analytics to develop and run an agile and scalable self serve Data Science Platform exposing productivity tools and key Finance data connections to end users saving overall tooling cost while empowering CFO teams with powerful analytics capabilities. Part of the FDA team you will become Finance expert on the toolsets and capabilities while also gaining insights on data points in order to help users navigate through best sourcing options. With these skills you will also work on specific projects to expedite time to market on key automations and builds for Finance groups.

Address:

TORONTO, Ontario, Canada

City:

CAN-NS-BEDFORD, CAN-ON-TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Office of the CFO

Job Type:

Regular

Pay Type:

Salaried