The bank for a changing world

We are looking for

Machine learning Specialist

Job type Permanent
Schedule Full time
Brand BNP Paribas
Level of experience 3 to 5 years
Apply REF: IT-22072020-001-HS




Change & Solution is an integrated and agile structure to facilitate the delivery of change solutions across the BNPP platform, with deep interconnectivity across businesses and functions in order to support the execution of priority initiative combining, from strategic consulting to execution.



The Analytics Lab falls under the Change & Solutions and is responsible for the industrialization of data driven and AI opportunities for the Americas region. The Analytics Lab supports the platform to innovate and implement ideas that positively influence how we operate and challenge the status quo of the organization. It is a center of expertise in CIB Americas to maximize the bank understanding of customers, enhance products, services and operations with a data driven approach.




The Machine learning specialist will be part of the core data science team analyzing business issues / opportunities and solve them through a deep data analytical approach. This position brings analytical rigor and statistical methods to improve client experience, marketing strategy, platform efficiency and employee experience:



Highlight opportunities in BNPP Americas’ data to generate new market opportunities as well as an enhanced client experience through the application of deep analytical solutions.


Apply advanced statistical models to perform patterns identification, and add predictive analysis to enhance its insights on large and complex datasets.


Provide expertise in statistical modeling techniques, Machine learning and Deep learning applied to time series forecasting, recommendation engines, image recognition or natural language processing.


Implement State of the art ML models and deploy them in the bank production environment


Facilitate internal validations (IT, Risk, Compliance), deployment and model support.


Provide knowledge on technology and business trends advising on potential benefits and impacts through conferences and research.  




Master’s degree in MIS, Computer Science, Optimization, Statistics, Mathematics, or other quantitative related field


1+ years of relevant work experience in Machine learning / Deep learning


Proven ability to use mathematical techniques to draw inferences and solve business issues. Strong technical experience and applied knowledge of traditional machine learning algorithms and deep learning frameworks


Expertise in some of the major programming languages (Python, C/C++, C#, Java, Scala..), statistical software (R, Pandas, ..) and data wrangling tools (SQL)


Experience with source control and release management (Git)


Positive, energetic, flexible and self-motivated team player with strong organizational skills


Excellent verbal and written communication skills and proficiency to interact professionally


Very strong work ethic and ability to deal with confidential information



Preferred Qualifications:



PhD degree and research experience in a quantitative discipline (Computer Science, Mathematics, Physics, ..)


DNN experience with state of the art NLP techniques (Language models training, fine tuning & usage)


Experience with containerization (Docker) and CICD deployment (Jenkins)


Experience with distributed data framework/processing (Spark, Kafka) and GPU computing

Web development experience (Html / CSS,  Flask - RESTful, ..) is a plus



Bilingual : English and French


Positive, energetic, flexible and self-motivated team player with strong organizational skills


Excellent verbal and written communication skills and proficiency to interact professionally


Very strong work ethic and ability to deal with confidential information

Ability to go beyond existing frameworks by suggesting new ideas which are suitable for clients and/or the organization 

Agile to quickly adapt to new situations and conduct projects in a fluid work environment

A recruitment policy that promotes equity and diversity:

Equity and diversity are at the core of our recruitment policy because we believe that they foster creativity and efficiency which in turn increase performance and productivity. We strive to reflect the society we live in, while keeping with the image of our clients.

We pride ourselves in applying non-discrimination rules to all our recruitments.

We will only contact the candidates selected who meet the job requirements in terms of training and experience.

About BNP Paribas

BNP Paribas is a leading bank in Europe with an international reach. It has a presence in 73 countries, with more than 195,000 employees, including more than 148,000 in Europe. The Group has key positions in its three main activities: Domestic Markets and International Financial Services (whose retail-banking networks and financial services are covered by Retail Banking & Services) and Corporate & Institutional Banking, which serves two client franchises: corporate clients and institutional investors. The Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realise their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, the Group has four domestic markets (Belgium, France, Italy and Luxembourg) and BNP Paribas Personal Finance is the leader in consumer lending. BNP Paribas is rolling out its integrated retail-banking model in Mediterranean countries, in Turkey, in Eastern Europe and a large network in the western part of the United States. In its Corporate & Institutional Banking and International Financial Services activities, BNP Paribas also enjoys top positions in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific.

About BNP Paribas in Canada

In Canada, BNP Paribas is one of the dominant foreign banks in the country and is committed to building its platform even further. Since becoming the operational hub for the Group’s activities in North America in 2013, it has grown significantly to reach more than 700 employees and is expected to continue growing in the coming years. With the continued development of technology and financial fields, BNP Paribas Canada continues to attract experts with diverse backgrounds as well as young and ambitious talent from across the globe. With the international mobility and capacity that very few companies can offer, BNP Paribas prides itself in providing a superior foundation for building a professional career - a place for people to learn, to achieve and grow.

Primary Location: CA-QC-MontréalJob Type: Standard / PermanentJob: DATAEducation Level: Master Degree or equivalent (> 4 years)Experience Level: At least 3 yearsSchedule: Full-time Reference: IT-22072020-001-HS