London – Graduate Analyst Programme 2017 – Quantitative Research

Who we are

BNP Paribas Corporate & Institutional Banking (CIB) is a leading European investment bank with global leadership in many of our businesses. We are part of the BNP Paribas Group, a financial institution with solid foundations and a proven ability to adapt to change. If you are thinking about a career in investment banking, there is no better place to begin your journey than with BNP Paribas CIB. With nearly 30,000 employees in over 55 countries, we can offer you an exciting start to your career

What you’ll do

We have a number of opportunities to provide exposure to a wide range of absorbing quantitative research initiatives within BNP Paribas Global Markets, focusing on Interest Rate Derivatives, Flow Rates, Structured and Flow Credit, FX, CVA & LVA, electronic trading and client analytics. We have daily front-line exposure to traders, marketers and risk managers providing cutting-edge research and risk management solutions based on innovative mathematical, statistical and technological concepts.

Within our Quantitative Research business, you will find different entities:

The Global market eFICC team   is responsible for quantitative research in electronic trading for fixed income products (Rates/Fx/Credit).

The team globally manages and develops eTrading strategy across business lines. The goal is to provide fully automated solutions and algorithms for market making in an increasingly growing eTrading environment.

The responsibilities of the team span the full range of electronic market making, including:

-   Pricing.

-   Risk management.

-   Franchise optimisation.

Digitalisation being a key focus of the bank’s development plan for the coming years, the team has a strong support from the bank’s management.

The Credit quants team is responsible for the quantitative support of Primary and Credit Markets ﴾PCM﴿ GBL.

This includes the pricing, risk management and relative value for flow, exotic and primary desks. The team is also responsible for the risk management transversally ﴾Including Best practices for PL Explain and Predict﴿ and has direct contribution to the transversal efforts of rationalisation and standardisation of systems across GM ﴾ CIB of Tomorrow, GM Digital Plan, etc﴿, as well as transversal regulatory topics such as FRTB, RADAR, Capital Optimisation tools.

The team contributes to the bank's digitalisation strategy and provide innovative and advanced solutions to support Primary and Credit desks.

The Flow Research Group is the subdivision of Quantitative Research dealing with the modelling of interest rate products with no optionality features; this includes interest-rate swap, bonds, cross-currency swap, FX forwards, futures etc… The team develops the pricing and risk models, as well as directly supporting the relevant trading desks and developing the tools that traders, sales and structuring use on a day-to-day basis.

The GM Data and AI Lab is responsible for building advanced data mining and machine learning models and tools for the benefit of Global Market business. The Lab works under the direct sponsorship of the head of electronic market making and commerce and under the supervision of the Digital Board. The approach to innovation can take three different forms: internal development with the help of skilled contractors, partnership with the academia and systematic screening of Fintech technology with potential incorporation to speed up delivery process. The Lab is fully integrated with the rest of the quantitative research team and has for mission as well to create bridges and diffuse the knowledge on the new technologies. The Lab is supported on the technology side by the Compute team, part of the Quantitative Research, covering all the infrastructure, development, storage, deployment, optimization, and computation side of the Lab. Finally quite close collaboration is required as well with Compliance and Legal team on one side and with IT Security on the other side to make sure that the data of the bank, the confidentiality of our clients and finally the integrity of the bank is well covered.

What we’re looking for

• Methodical and innovative thinker           
• Strong drive to exceed expectations and take initiative
• Meticulous accuracy with a keen eye for detail
• Confident verbal communication skills

Technical skills and qualification required for the role

• A minimum of a Masters or PhD equivalent in any degree discipline that provides a sound knowledge of stochastic calculus and numerical methods
• Previous related internship or work experience in financial services and/or investment banking
• Solid computer science background; programming experience required
• Experience of electronic markets, models and arbitrage strategies is not a prerequisite but a strong plus
• Demonstrable knowledge of financial markets, economics and quantitative finance

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

Closing Date: 30th June 2017

Locations: London

Salary: Competitive