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Senior AI-ML Business Analyst

BNP Paribas · Mumbai, Maharashtra, India

5–12 yrs experienceRemotefull_timePosted 3w ago
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Job description

**Job Title:** Senior AI-ML Business Analyst - Boost **Department** : BOOST IDeA - AI **About Business line/Function:** FRESH is a unique organization within the BNP PARIBAS IT Group. FRESH is responsible for the alignment of IT programs with the strategy and objectives of Finance and Risk. The BOOST-IDeA team, as part of the CONNECT umbrella within FRESH division, is a privileged partner of the Finance & Strategy and RISK Functions, a catalyst for efficiency and operational excellence. In particular, the AI Center of Expertise team aims to support our business partners in the collection/identification of eligible AI topics, the definition and design of the tooling strategy, the implementation of the solution and its maintenance in production environment. **Position Purpose:** The chosen candidate will assume, in close coordination with the Head on the AI Center of Expertise; the role of "Senior Data Scientist BA" participating, along with the whole team, in supporting the business teams in the experimentation and industrialization of innovative projects (AI) i.e. from the POC to project instruction phases and implementation and deployment in the BNPP ITG Cloud infrastructure. Candidate needs to have experience of working within a dynamic and demanding environment reacting to changing business needs. The candidate should be proficient in the core skillset, should be flexible to work as an individual contributor as well as other tasks within a team. The candidate should take complete ownership of tasks and drive them to completion. **Responsibilities** Direct Responsibilities - Participate in all workshops related to gathering of needs and presentation of requirements - Challenge requirements providing full and accurate explanation to stakeholders - Act as a bridge between business teams and our IT team translating needs into an IT solution - Participate in the definition of the target architecture - Contribute to the design of the associated AI solution to meet user's needs - Follow the Proof of Concept if needed to experiment new models, algorithms, technical assets, … - Monitor the industrialization process following ITG guidelines with the help of the project manager (project launching, instruction, …); - Build the test strategy alongside the business stakeholders - Coordinate the whole testing phase with underlined proper communication - Get accustomed with methodology (Agile Scrum) and tooling used (JIRA, Octane, …) and act as a vector of their proper usage - Exchange with the various ITG experts to reach the full understanding of AI landscape (Service offers available, technical and security requirements, guidelines, …) - Identify skills needed depending on the characteristics of the project - Identify potential new skills needed and coordinate with Head of CoE to anticipate needed trainings And also dedicated activities in proximity with the Product Owner of the CoE including: - Manage Backlog (help in managing the CoE global backlog) - Design Feature (Design Opus/Features/User Stories (US) specifically tailored for AI applications) - Improve continuously prioritization methodology (Advising the Product Owner on prioritization methods based on estimated value is critical in AI projects due to their complexity and potential impact on operations) Contributing Responsibilities - Participate to the "Ideation" phase used to identify pain points and possible topics eligible to AI - Participate to the Identification of potential new skills/competencies needed and alert Head of CoE accordingly. - Acculturate our F&R-Solutions colleagues and our business partners, on AI capabilities helping them getting basic/medium knowledge and enlighten them on its benefits. - Act as the first point of contacts for local business partners in the collect and first-level assessment of potential AI-eligible needs. - Should be able to guide and mentor junior team members. - Should strictly adhere to organization processes. **Technical & Behavioral Competencies** **Candidate Must Justify Relevant Experience On Following Streams** - Minimum of 5 years as a Business Analyst as member of an IT team in charge of the implementation and maintenance of IT solutions. Strong knowledge and experience in conducting, at least, following phases of a project is required: requirements gathering/clarification, solution design, and UAT tests. Also, significant experience in Agile is needed, especially Scrum methodology. - Minimum of 2 years’ experience on AI projects having had the opportunity to work on a variety of topics: Machine Learning, NLG, NLP, LLM, MLLM, IDP, OCR, ... Native English is required. **Following Skills Are Required** Technically - On below listed areas (Machine Learning, NLG, NLP, LLM, MLLM, ...) - Knowledge of existing and available algorithms/models Transversally - Minimum level of Python coding - Domino platform - Understand the BNPP Technical Context - Structuring application following "DevOps" guidelines allowing industrialization and scale-up - Take ownership and use the services offered by the Group **Specific Qualifications** Candidate must have a Bachelor degree in Computer Science or Data Engineering or Data Science. **Skills Referential (Required Knowledge, Skills And Abilities)** **Technical Skills:** Minimum level of Python coding , Machine Learning, NLG, NLP, LLM, MLLM, OCR **Behavioral Skills** - Attention to detail / rigor - Ability to deliver / Results driven - Communication skills - oral & written - Creativity & Innovation / Problem solving - Organizational skills **Education Level:** Bachelor Degree or equivalent **Location:** Mumbai **About BNP Paribas Group** BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in i