Contract Duration: Start ASAP, Initially 6 months (possibility of extension)
Schedule Hours: 9am-5pm, Monday-Friday (standard 37.5 hrs/week)
Work Environment: Hybrid Model
Reason: New Project
Story Behind the Need
- This is an opportunity to play a critical role in building real-time analytics capabilities within a leading bank in the GTA. If you have the expertise in data engineering, machine learning, and quantitative modeling,
Typical Day in Role
- Implementing and automating models developed by the product team.
- Generating statistical models based on use cases and ensuring correct correlation analysis for clients (e.g., identifying similar clients and generating insights based on similarities).
- Turning data into code to help client's Capital Market deliver real-time analytics to customers.
- Supporting the transition from batch processing to real-time insights, helping build the framework and engine for this initiative.
Soft Skills: Strong Communication, Stakeholder Management, Time Management, Adaptability, Problem Solving
Candidate Requirements/Must-Have Skills:
- 7+ years of experience in a data science role
- Expert-level Python skills (pandas, NumPy, matplotlib, requests, scikit-learn)
- Strong experience in machine learning frameworks such as PyTorch (or Keras, TensorFlow, Apache Spark)
- Hands-on experience optimizing quantitative models
- Deep knowledge of mathematics and statistics
- Experience in data engineering for distributed stream processing
- Previous exposure to AI tools and technologies
- Strong communication skills, ability to work with cross functional teams, ability to translate technical terminology, strong initiative, team first mentality, creative and curious to learn.
Nice-to-Have Skills
- Experience in banking or capital markets
Education
Bachelor's degree in a technical field such as computer science or computer engineering.
Best vs. Average Candidate
The ideal candidate will possess strong soft skills and a can-do attitude. Meeting 80% of the technical skills and 20% of the domain knowledge would be ideal. Experience in banking or capital markets is a strong plus.
About Us:
Collabera is a leading Digital Solutions company providing software engineering solutions to the world's most tech-forward organizations. With more than 25 years of experience, we have hired over 17000 employees across 60+ offices globally and currently place 10000+ professionals annually to support critical IT engagements at more than 500 client sites, 80% being the Fortune 500. {and 59% of the Fortune 50 (could use either stat)}
With Collabera, you
• Will get to work on numerous challenging and exciting projects, including UI/UX transformation, Blockchain, AI/Data Science, Cloud migrations, Cyber-Security and Engineering.
• At Collabera you have 80% chances of project extension or redeployment to other clients
• Will have endless opportunities to learn new technologies through our inhouse Training arm -- Cognixia.
