Business Overview:

The ITO Data Analyst works within the BNP Paribas CIB organization to provide data analytics, machine learning and artificial intelligence solutions across functional areas. The data analyst is expected to help drive business results with analytical insights, automate manual processes and deliver better products leveraging bank’s vast amount of data and advanced data technologies. The primary focus will be to gather technical requirements, demonstrate the business cases, apply data mining techniques, perform statistical analysis, and build high quality prediction systems integrated with our products and processes. The ideal candidate must have strong technical experience using a variety of Machine Learning and Data Analytics methods and tools, building and implementing predictive models (regression, classification, text mining, unsupervised models, etc.). They will also be developing reporting tools to track business activities and monitor model performance. They must have the ability to interpret and visualize technical findings to stakeholders and be comfortable working with a wide range of functional teams.

Candidate Success Factors:

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.

Responsibilities:

Discover and identify opportunities to leverage bank data and apply Data Analytics / Artificial Intelligence technology to improve business outcomes and processes.
Mine and analyze vast amount of data from variable databases to reveal analytical insights, and drive process optimization.
Develop state-of-the-art RAG pipeline, Agentic AI models to achieve operational efficiency, optimize customer experiences, and other business outcomes.
Perform technical testing to ensure quality, efficiency, resilience of the models.
Coordinate with various functional teams to implement data solutions.
Develop data visualization and reporting tools to monitor and analyze model performance and other business activities.

Minimum Required Qualifications:

Master’s in computer science, Mathematics, Statistics or related field, or equivalent work experience required.
Knowledge and experience in working with various Artificial Intelligence / Machine Learning techniques (regression, clustering, tree-based classifications, neural networks, text mining, unsupervised learning, etc.)
Strong programming skills in Python, with experience in libraries such as langchain, vector database, pandas, NumPy, Streamlit, Plotly, Seaborn.
Experience implementing NLP and Named Entity Recognition (NER) models using Python and related libraries.
Excellent understanding of statistical concepts and techniques (probabilities, property of distribution, statistical tests, optimization, feature selection, regularization, etc.), and experience with applications
Experience in data extraction using SQL, PL/SQL, and data transformation through Python scripts .
Processing, cleansing, and verifying the integrity of data used for analysis
Experience of data visualization and reporting tools, such as Tableau, Power BI, Business Objects, etc.
Experience in business analysis, strong problem solving/troubleshooting skills.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.

Preferred Qualifications:

Master’s degree in data / computer science, Mathematics, Statistics or related field.
Experience in NLP and Named Entity Recognition (NER) models using Python.
Experience working with large datasets, in both Relational Database (RDBMS).
Experience working at financial institutions or knowledge of financial products or technical experience with financial datasets.

FINRA Registrations Required:

Not Applicable

CFTC Swap Dealer Associated Person (if yes, NFA Swaps Proficiency Program is required):

Not Applicable

SEC Security-Based Swap Dealer Associated Person:

Not Applicable

While the description above describes our ideal candidate, we encourage applicants to apply even if they do not fully meet the complete list of qualifications noted.

The expected starting salary range for this position is between $95k to $105k annually. The actual salary may vary based upon several factors including, but not limited to, relevant skills/experience, time in role, base salary of internal peers, prior performance, business line, and geographic/office location.

In addition, our comprehensive benefits package aims to support our employees in various aspects of their lives. From healthcare and wellness programs to retirement plans and childcare services, we prioritize the well-being and growth of our employees. Our benefits include medical, dental and vision coverage, a 401(k) Savings Plan, backup childcare, life, accident and disability insurance, mental health support and paid time off. Additional details about our benefits offerings, inclusive of eligibility for a discretionary bonus, will be provided during the hiring process.

About BNP Paribas:

BNP Paribas is a leading bank in Europe with an international reach across the US, EMEA and APAC. It has a presence in 65 countries, with nearly 190,000 employees. The bank employs over 3,500 people in offices in the US across 10 states including New York, Jersey City, Chesterbrook, PA, San Francisco, Boston, Chicago, Denver, Miami, and Washington, DC. BNP Paribas has built a strong and diversified presence to support its client base. We continue to grow and strengthen our commitment to the US market through our Corporate & Institutional Banking activities. We are one of a few non-US banks to offer a full value chain for our clients, from trading to financing, and clearing and custody in the US with the international footprint and capacity to deliver both globally and locally. Leveraging the strength of our European roots, our network can support clients in virtually every region of the world, enabling more connectivity and efficiency wherever our clients conduct business. We take pride in our expertise and our ability to adapt while constantly looking ahead to create a more sustainable world.

As an international company with a global footprint, the unique cultures and viewpoints of our team members are an integral part of the fabric of BNP Paribas. We are a company with a purpose - to be a responsible and sustainable global leader. We aim to create an environment where our employees feel empowered to drive change, make an impact and be true to themselves. We employ talented individuals from a wide variety of backgrounds, locally and globally, and are inspired by our employees who help us in cultivating a diverse, equitable and inclusive workplace through initiatives such as our Diversity, Equity & Inclusion (DEI) Leadership Forum and Employee Resource Group (ERG) communities. We strive to be a workplace where all team members can grow and thrive and offer robust training, development, and mentoring opportunities to make that vision a reality. Our leaders are deeply committed to DEI and highly accessible to our employees, consistently soliciting feedback on how we can continue to support our employees to reach their highest potential.

BNP Paribas. The Bank for a Changing World - https://usa.bnpparibas/en/homepage/join-us/our-opportunities/

BNP Paribas is committed to providing a work environment that fosters diversity, inclusion, and equal employment opportunity without regard to race, color, gender, age, creed, sex, religion, national origin, disability (physical or mental), marital status, citizenship, ancestry, sexual orientation, gender identity and gender expression, or any other legally protected status.

Protect yourself from fraudulent job postings. Emails about jobs at BNP Paribas will always come from addresses ending @bnpparibas.com @us.bnpparibas.com, @ca.bnpparibas.com, or @br.bnpparibas.com. You should be suspicious of emails regarding employment with BNP Paribas coming from any other domains and should not respond. BNP Paribas will never send payments to or request payments from candidates for positions posted by BNP Paribas.

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