Lead Data Scientist

Hi, Please share your resume at [email protected] if interested in below role.

Lead Data Scientist

Toronto

Fulltime

Candidates must me local to the Toronto, ON area and commute into the city three times a week into the office. NO RELOCATION CONSIDERED.

Please send candidates even if they are over the target rate. Client is flexible.

We need a senior (10+ years) Data Scientist with excellent experience working in Capital Markets environments. Candidate will Oversee the design and development of AI ML models for deriving insights from traditional & alternative data (structured and unstructured) focused around both client and market data domains.

Build cutting edge products used by various front office functions in the Capital Markets domain (e.g. Investment Bankers, Global Markets Salespeople, etc.

Work across various technical delivery and product teams to execute broad client focused projects and initiatives. CANDIDATES MUST HAVE RECENT EXPERIENCE WITH CAPITAL MARKETS.

Interview Process : Video

Location : Hybrid Toronto, ON, No Relocation Candidates must be onsite day one and go into the office three times a week.

Please provide all the below details with each submittal. It is required for the vendor Management system.

Number of years working with :

Total IT experience :

Years working with : 5+ years of AI and Big Data Analytics Experience

Years working with : 5+ years of financial industry experience

Years working with : Distributed notebook environments like Databricks and / or data analytics platforms like Snowflake

Years working with : Traditional AI-ML Experience

Years working with : Capital Markets

Job Description :

The Alternative Data and AI team is looking to hire a well-balanced individual that is both technically proficient and a strong communicator to lead advanced analytics initiatives that focus on client opportunity identification across various Capital Markets product groups.

What will you do?

• Oversee the design and development of AI ML models for deriving insights from traditional & alternative data (structured and unstructured) focused around both client and market data domains.
• Build cutting edge products used by various front office functions in the Capital Markets domain (e.g. Investment Bankers, Global Markets Salespeople, etc.).
• Work across various technical delivery and product teams to execute broad client focused projects and initiatives.
• Scale existing Advanced Analytics products and programs across singular LOB silos to cross Capital Markets products.

What do you need to succeed?

Must have :

• Minimum of undergraduate degree coupled with at least 5+ years overall experience in Data Science and 2+ years' experience in a leadership role
• Traditional AI-ML Experience - Building front to back AIML models with MLOps integration and active learning on the cloud
• Generative-AI Experience - Experience with natural language processing (NLP) and understanding of techniques for text generation and manipulation.
• Experience with techniques like transfer learning, K shot and no shot learning
• Experience working with Client & Alternative Data
• Strong understanding of graph theory and graph algorithms
• Strong people management skills that can foster an environment of collaborative client focused delivery

Nice-to-have :

• 5+ years of financial industry experience
• 5+ years of AI and Big Data Analytics Experience
• Experience with one or more cloud platforms (Azure, AWS or GCP)
• Experience with distributed notebook environments like Databricks and / or data analytics platforms like Snowflake

In this role, you will communicate frequently with head office staff in Toronto.

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
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Flexible work / life balance options
1 day ago