Connor, Clark & Lunn Investment Management
FinTech
DataScientist
“Data Scientist at Connor, Clark & Lunn Investment Management. Skills: Data Science, Machine Learning, AI, Data Engineering. Develop methods for named entity recognition. Create knowledge graphs at scale”
What You'll Achieve.
Ensure new data products are ready; Ensure useful data products are ready; Accelerate data preparation; Accelerate modelling functions; Build integrated data model; Scale integrated data model; Manage integrated data model; Evaluate integrated data model; Ensure long-term reliability
Industry & Context.
Critical thinking; Creative thinking; Balancing intuition; Statistical validation; Challenging data problems; Ambiguity; Business trade-offs
What They're Looking For.
Must Have
Undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline, SQL proficiency, 5+ years of experience
Nice to Have
Relevant graduate degree, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification
What You'll Do.
Develop methods for named entity recognition
Create knowledge graphs at scale
Create methods to identify data points
Create algorithms to link data points
Create processes to explore data points
Create processes to assess data points
Test structured data sets
Test unstructured data sets
Collaborate with quantitative researchers
Support alpha projects
Collaborate with technology specialists
Support production deployments
Enable accessibility of work
Enable clarity of work
Present recommendations
How You'll Work.
Team & Collaboration
Investment experts; Data experts; Quantitative researchers; Technology specialists; Senior team members
Communication Scope
Clear presentations; Concise presentations; Compelling presentations; Technical concepts
Process & Methodology
Agile
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