Junior Data Analyst

at  CREDIT AGRICOLE CORPORATE AND INVESTMENT BANK

POSITION

In a challenging and multicultural environment, we are looking for a Junior Data Analyst for our Data & Analytics team within Digital Excellance Center (DEC) department.
This is an exciting opportunity for a talented team-player to be part of a technology team that is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Market Risk, Trade Finance, Operations, Advanced analytics tools evaluations).

QUALIFICATIONS AND PROFILE

• A Bachelor’s or Post graduate degree from a recognized university.
• Proficient of software development experience in programming languages such as Python / Java / Node.
• Strong background in mathematics and statistics
• Experience with data science / machine learning development tools such as Scikit-learn, Pandas, NumPy, NLTK, spaCy, TensorFlow, OpenCV, etc.
• Experience with NLP technologies, handling of unstructured text data, image processing (OCR) and web-scraping – is a value addition.
• Experience in databases such as MySQL, MongoDB or Redis graph.
• Intellectual curiosity and interest in finding new ways to do things, combined with outstanding written and verbal communication skills.
• Adaptable to changing business needs, strong sense of ownership and drive for customer focus and ability to collaborate effectively with IT managers, senior stakeholders to gather requirements and manage scope.
• Strong desire to keep abreast of emerging technologies
• Team player mindset
• Understanding and respect of cultural diversity

• As a Junior Data Analyst , you will work with AI Factory development team – who is building ML, NLP based algorithms to derive information from unstructured text, digital documents, scanned documents, web-sites, etc.
• You contribute to the development of transversal projects, improvement of capabilities of the team and promote AI based application development. The scope of responsibilities includes:
• Work closely with data scientist / data engineers on data retrival, collection, cleasing and annotation
• Utlize coding languages (Pythin, SQL, etc.) to build statistical patterns and analysis on given data and communicate them effectively
• Develop new or maintaining existing data processing pipelines
• Help team to make data-driven decisions and present data in understandable ways
• Working closely with internal stakeholders / cross functional teams
• Other relevant duties as assigned