Assistant Vice President - Corporate Functions, Analytics Lab; Machine Learning Engineer

2027 - Full Time Assistant Vice President - Corporate Functions, Analytics Lab (Machine Learning Engineer)

CIB Functions, Analytics Lab

Location:

Jersey City, NJ

Change & Solutions is the team within BNP Americas in charge of facilitating the Transformation of the BNPP Platform. Strongly connected to our internal clients, we strive to provide comprehensive support to their transformative journey, from the initial consultation to the final execution.

The Analytics Lab is the center of excellence in AI/Machine Learning within Change & Solutions serving the Americas region. The team is located both in Jersey City and Montreal, working closely with our internal clients to provide innovative and tailor-made AI solutions to improve our client knowledge, operations and reduce risks. The Lab is playing a central role in the evolution of traditional ML solutions to Generative AI and Agentic systems, enabling more autonomous, scalable, and intelligent business processes.

The Lab is also proudly part of Analytics Consulting, a global team of international experts that builds AI solutions for CIB. Beyond the presence in Americas, you will have the chance to collaborate and participate in projects with people from Paris, Lisbon and London.

If you are a bright and passionate AI expert looking to work at the forefront of machine learning and agentic AI, enjoy solving complex business problems, and strive for engineering excellence in a fast-paced and evolving environment, we offer a unique opportunity to grow and make a tangible impact! We are looking for a Machine Learning Engineer to join our dream team!

We offer excellent development prospects and the ability to develop your skills to the highest level in our team.

Candidates are measured on the following four performance drivers, which will dictate how individual impact is considered on the Americas platform:

• Results and Impact
  • Able to influence peers and team.
  • Demonstrates good judgement when making decisions of high complexity and impact.
  • Exercise appropriate autonomy in the execution and delivery of work.
  • Responsible for driving outcomes, which have meaningful effect on team or department.
• Leadership and
  
  Collaboration:
  • Creates trust with colleagues.
  • Acts in leadership capacity for projects, processes, or programs.
• Client, Customer and Stakeholder Focus:
  • Able to build relationships with a mix of colleagues and clients.
  • Interacts regularly with management and department leaders.
  • Demonstrates the ability to influence stakeholders at the team level.
• Compliance Culture and Conduct:
  • Takes full responsibility for personal actions and demonstrates courage in facing problems and conflicts.
  • Perceived as a person of high moral character; upholds corporate values and displays high ethical standards.

Our programs are a springboard for college students to launch their careers through exciting and intellectually stimulating opportunities. To succeed amongst our teams, we look for those with a strong academic story, sharp analytical skills, and the ability to articulate ideas well to clients and colleagues alike.

• Graduation year of December 2026 – June 2027
• Leverage AI tools to enhance efficiency and output
• Master's degree in MIS, Computer Science, Optimization, Statistics, Mathematics, or other quantitative related field
• Expertise in programming languages such as Python or C, database manipulation (SQL), statistical modeling, and data analysis techniques.
• Experience with LLMs based solution including ochestration frameworks and libraries used for LLM / agentic workflows (such as Lang Chain, CrewAI, Google ADK, OpenAI Agent SDK)
• Experience with machine learning frameworks such as Tensorflow, PyTorch, scikit-learn
• Experience designing or implementing retrieval pipelines, reranking, grounding, and evaluation approaches for RAG-based systems.
• Understanding LLMs strength and limits, including hallucination risks, reasoning limitations, context-window constraints, and latency / cost trade-offs.
• Experience with source control and release management (Git)
• Interest or experience in MLOps tools (e.g. DVC, MLFLow …) or CI/CD tools (e.g.…