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 Lead Data Scientist



What is the opportunity

The Lead Data Scientist is responsible for building and designing data-driven products relevant to Capital Market using financial market and alternative datasets as well as driving forward data science and advanced analytics in product development.

What will you do?

Develop data-driven products from alternative datasets relevant to Capital Market

Identify new financial market datasets or alternative datasets from vendors that are relevant to Capital Market

Propose alternative data solutions/products and AI solutions to end users, and oversee the end-to-end implementation

Implement statistical, machine learning, or mathematical methodologies as needed for specific problems, or data analysis by leveraging alternative data sets

Lead the development of big data capabilities and utilization, as well as the coordination of cross-functional engineering and analytics initiatives

Lead innovation and help the business create additional value through the utilization of alternative data assets and analytics

Identify and monitor key opportunities and the data needs of the business

Manage and mentor junior data scientists, guide them through the execution of projects, and foster their professional growth

Front Office

Proactively identify operational risks/ control deficiencies in the business

Review and comply with Firm Policies applicable to your business activities

Escalate operational risk loss events, control deficiencies and risks that you identify to your line manager and the relevant risk and control functions on a timely basis.

What do you need to succeed?

Basic Qualifications (Legislative Requirement)

Masters or PHD in Mathematics, Statistics, Computer Science, Physics or other quantitative fields.

4+ years of experience in Data Science, Machine-Learning, Natural Language Processing or Statistics

Other Required Qualifications:

Proven track record of solving ambiguous and highly complex problems using data and machine learning

Proven track of partnership with businesses on leveraging AI products to identify where products can have the most impact on Strong quantitative modelling skills, including statistical modeling, machine learning and optimization

Ability to perform complex data analysis on large volumes of data and present findings to stakeholders

Excellent analytical and problem solving skills

Expert technical documentation skills

Familiar with a range of data tools

Work experience with complex visualization of data

Expert working knowledge of Python, R, and SQL

Strong coding abilities, preferably in Python using advanced libraries

Familiar with a Linux environment and shell scripting

Expert data extract, transform, and load processes with a variety of data types

Experience with big data technologies -noSQL/SQL databases, parallel processing techniques and Apache Spark

Suggested Qualifications:

Familiarity with data visualization tools and techniques like D3, R, Qlik, Tableau, PowerBI
Knowledgeable in standard Python libraries such as pandas, numpy and matlpotlib.

Knowledgeable in standard ML Python libraries such as scikit-learn, TensorFlow or PyTorch.

Knowledgeable in NLP Python libraries NLTK, spaCy or huggingface libraries.

Previous exposure to capital markets

Good understanding of financial/stock market

Job Summary

Address: TORONTO, Ontario, Canada

City: CAN-ON-TORONTO

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: Capital Markets

Job Type: Regular

Pay Type: Salaried

Posted Date: 2022-08-09-07:00

Application Deadline: 2022-11-18-08:00

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.