Company Purpose:
Our company purpose is to contribute to a responsible and sustainable economy by financing and advising clients according to the highest ethical standards.
Our employer promise is built around three pillars:
• Being a great place to work.
• Committed to sustainability and having a positive impact.
• Being dedicated to the development of our people.
Business Area
BNP Paribas’ Global Markets business offers a broad range of products and services in the global interest rates, credit, currency, equities & commodity markets. Global Markets help their franchise of clients find effective ways to raise and invest capital as well as manage their exposure to risk. Their client base comprises of hundreds of corporations, institutional investors, banks, governments and supranational organizations.
Global Markets has the scale and reach to conduct business anywhere in the world and deliver products denominated in almost all of the world’s currencies. Their global network comprises more than 3,000 professionals working on our six main trading floors in London, Hong Kong, New York, Paris, Singapore and Tokyo. They are supported by regional offices throughout Europe, the Americas, Middle East and Asia-Pacific.
Job Purpose
The role is to assist the team with the day-to-day LLM related business activities under supervision.
Key Responsibilities
• Design and develop Large Language Models (LLMs) solutions using the latest techniques in Machine Learning and Deep Learning, staying up-to-date with industry trends and advancements.
• Build and deploy our next-generation Natural Language Understanding interface, across business lines.
• Participate in research and development of various LLM techniques, collaborating with cross-functional teams to identify areas of innovation and improvement.
• Be able to innovate freely, introducing new techniques or technologies.
Requirements
• Strong education in Statistics, Maths or Computer Science (Master or PhD level required): we are not just looking for people who know how to use machine learning techniques, but for people who understand how it works inside the black-box.
• Strong knowledge of Machine Learning techniques (classification, regression, natural language processing, LLMs).
• Understanding of standard LLM practices such as prompt engineering, RAG, LoRA etc.
• Good Python programming skills.
• Good knowledge of Databases (SQL, Oracle, MongoDB…) and able to use ML environments (CUDA, Hadoop, Spark).
• Relevant internships in industry applying Machine Learning techniques and successful participation to Kaggle challenges are a plus.
• Delivery-driven mindset.
• Strong interpersonal skills and proactive approach to problem solving.
• Ability to work under pressure and multi-task.
• Strong organisational skills.
• Team player.
Conduct
• Be a role model, supporting and fostering a culture of good conduct.
• Demonstrate proactivity, transparency, and accountability for identifying and managing conduct risks.
• Consider the implications of your actions on colleagues.
And of course, we expect all our colleagues to embody and practice the Group values (alignment with the Bank’s strategy, commitment, work ethic, integrity and Code of Conduct).
A bit more about why you should join us
1. We’re a great place to work
We aim for optimal work/life balance (depending on role, this includes hybrid working, flexible working and agile)
We are proud of our award-winning flexible benefits and health & wellbeing strategy. Our flexible benefits include:
• Generous holiday allowance of at least 26 days (plus bank holidays) – with option to buy and sell holidays.
• Valuable financial plans – a 12% non-contributory pension which has been moved to sustainable investments*, life assurance*, income protection and personal accident insurance.
• Extensive wellbeing and mental health offering – one of the most advanced private medical schemes in the UK, dental cover, wellbeing app, • Cognitive Behavioural Therapy support, subsidised gym memberships, bespoke health assessments including genetic testing, Private GP (including digital GP services to parents of employees), Employee Assistance Programme, menopause & fertility support (we are an accredited Menopause Friendly Employer), neurodiversity assessment and support.
• Key onsite services and facilities in London – include physiotherapy, nutrition, massage therapy, physiology, mental health first aiders, seasonal flu vaccinations and free onsite fitness centre.
• Plus, emergency back-up care for dependants, green car leasing, season ticket loan, and a range of other benefits.
* Subject to relevant caps
2. As the eurozone’s largest bank, we are committed to having a positive impact in the world.
For example, we are committed to Net Zero in all of our financing and investment portfolios by 2050. By 2030, 80% of our energy production financing will be low carbon.
But impact for us means more than climate. It means empowering our people every day. Everyone gets four volunteering days each year – in 2023, we achieved over 18,000 hours of volunteering across the UK and reaching over 4,500 young people.
3. We believe in our people
We support our people to develop skills to adapt to the ever-evolving world of work and to prepare for the jobs of today and tomorrow. We do this through a comprehensive training offering, talent programmes, mentoring, career days and inhouse career tools.
We are proud of the number of our people who progress and secure new roles internally. In fact, in 2023, nearly half of our positions in UK CIB were filled internally.
Investing in our people also means we have a collaborative and inclusive culture:
• Direct feedback from our people shows that our internal culture sets us apart from our industry peers.
• Each year, nearly 30,000 employees globally are involved in professional networks that play an active role in promoting Diversity and Inclusion within the Group. These include our:
• Pride Network, Ability Network (which supports disabled employees), MixCity (gender equality network), Women in Global Markets, Women in Global Banking, Women in IT, Diversity Equity & Inclusion in Technology, Early Careers Network, Multicultural Network and Parents & Carers Network.
Equal Opportunities
BNP Paribas is committed to providing a work environment that fosters diversity, inclusion, and equal employment opportunity without regard to age, disability, gender reassignment, marriage or civil partnership status, pregnancy and maternity, race, religion or belief, sex or sexual orientation, or any other legally protected status.
Adjustments
We don’t want anyone to be disadvantaged in our recruitment processes, so if you have a disability or health condition which may mean that you’d benefit from some adjustments or additional support, please let us know as early in the process as possible.
#LI-Onsite
PLEASE NOTE
• You may only apply to four Long Term Internships over the course of a year. These may be across any business area.
• Successful candidates for this long term internship will be considered for London ONLY.
• Please discuss the available start dates with your interviewers.
Unsuccessful candidates’ CVs will be shared with other teams within BNP Paribas Global Markets and considered for potentially suitable roles. In this way we hope to maximise opportunities for candidates and hiring teams. By submitting your CV for this role you agree to it being shared securely with other hiring teams within BNP Paribas Global Markets for the relevant recruitment round.