Location: Montreal (day 1 onboarding onsite / in-office presence required 3x/week)
Years of experience: 3-5
Technology
Technology works as a strategic partner with business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets.
Company sizeable investment in technology results in quantitative trading systems, cutting-edge modelling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients'businesses—and to our own.
Operations Technology and Shared Ops
Operations Technology engineer creative solutions that power the movement and custody of capital for clients. Shared Ops is part of Operations Technology and is a federated ecosystem of tools and services that provide solutions for automating manual execution of business functions, managing exception life cycles, and facilitating collaboration across various groups.
Qualifications
Primary Responsibilities
The candidate will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development, predictive analytics and prompt engineering. The candidate should be able to work with different Clients/SME’s and understand the business requirements proper python code development, develop machine learning models with proven evidence and analysis. Good candidates should be familiar with machine learning model/Gen AI based solutions lifecycle and maintenance including ongoing monitoring.
Contribute to development and maintenance of Machine Learning models for business problems.
Contribute to model evaluation, parameter tuning, feature selection and model calibration experiments for predictive analytics projects.
Contribute towards prompt engineering for data analysis and discovery.
Conduct regular testing and performance analysis.
Conduct necessary in benchmarking experiments.
Skills Required
Bachelor’s in computer science or related field
Hands-on experience in building ML and Data Science solutions for real world problems
Understanding of ML models and concepts, good practices and analysis
Experience/Understanding with Open AI and different LLM models, prompt engineering, testing and performance evaluation.
Strong data science and statistical analytics skills.
Strong in problem-solving with innovative mindset
Strong Python development skills
Good communication skills
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EEO Employer
Minorities/ Females/ Disabled/ Veterans/ Gender Identity/ Sexual Orientation
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