Start Date
Immediate
Expiry Date
25 May, 25
Salary
0.0
Posted On
25 Apr, 25
Experience
5 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Learning, It, Time Series Analysis, Python, Regulatory Requirements, Technical Documentation, Finance, Probability, Addition, Economics, Nltk, Accessibility, Predictive Modeling, Data Science, Statistics, Quantitative Research, Statistical Inference
Industry
Financial Services
In a changing world, unprecedented challenges require unmatched talent. Join one of Montreal’s Top Employers in 2024. We are a dynamic and growing organization having its main establishment located in downtown Montreal and part of a leading international banking institution fully committed to building a more sustainable future. Note that the position may be in the Canadian Branch of BNP Paribas or in one of its subsidiaries based in Montreal.
THE STRENGTHS AND SKILLS THAT WILL HELP YOU SUCCEED
Minimum Required Qualifications
Advanced degree (Master or PhD) in Finance, Economics, Statistics, Data science or any other related quantitative field.
5+ years of experience validating or developing models related to quantitative research in finance, such as derivative pricing, asset price modeling, algorithmic trading, etc.
Solid quantitative, statistical and AI knowledge: predictive modeling, data science techniques, time series analysis, statistical inference and probability, clustering, etc.
Programming experience in statistical or mathematical languages such as Python or R.
Experience with machine learning frameworks such as LightGBM, Tensorflow, or PyTorch.
Experience producing high quality written technical documentation.
Good communication and synthesis skills in addition to critical thinking capabilities and passion for learning.
Given the vast majority of our clients, both internal and external, are based outside of Quebec and Canada, specific language requirements may apply. Knowledge of the English is required.
Preferred Qualifications:
In addition to the minimum requirements, it is desirable for the candidate to be able to demonstrate:
Knowledge of the regulatory requirements (such as SR11-7).
Familiarity with trading desks’ products and strategies.
Experience in developing and working on real-world machine learning projects.
Experience with mentoring junior team members.
Experience with NLP frameworks, such as NLTK, spaCy or Gensim.
WHAT YOU NEED TO KNOW
ABOUT US
BNP Paribas is the top bank in the European Union and a major international banking establishment. Present in 63 countries, with more than 180,000 employees, the bank holds key positions in several areas of banking and financial services.
BNP Paribas’ mission is to contribute to a responsible and sustainable economy by financing and advising its clients according to the highest ethical standards, while striving to respond to essential concerns in terms of the environment, regional development and social inclusion.
Since 1961, BNP Paribas has supported large Canadian companies and institutions in their business development by offering a full range of specialized financial services and investment products.
With over 1,400 employees, BNP Paribas in Canada continues to attract experts from diverse fields as well as ambitious young talent from around the world. We are proud to offer our employees a rewarding and international workplace where they can build their professional careers by honing their skills, meeting challenges and enriching their knowledge of the financial industry.
Please refer the Job description for details