Cette offre n'affiche pas de salaire. D'après 45 offres pour ce poste (tous niveaux, Paris), le marché se situe autour de 53k€ (45k€–60k€).
Salaire du marché pour Consultant à Paris : médiane 53 000 €/an, P25–P75 : 45 000–60 000 €/an, n = 45 offres. Salaire Python à Paris
Baromètre TJM et salaires ITMurex is a global fintech leader in trading, risk management and processing solutions for capital markets.
Operating from our 19 offices, 3 400 Murexians from over 65 different nationalities ensure the development, implementation and support of our platform which is used by banks, asset managers, corporations and utilities, across the world.
Join Murex and work on the challenges of an industry at the forefront of innovation and thrive in a people-centric environment. You'll be part of one global team where you can learn fast and stay true to yourself.
Team & Context
You will become a part of the Trading Instruments and Analytics Domain (TIA) which is at the heart of MX.3 software evolution, where you will become a member of the Financial Engineering team. Our multi-cultural team designs, validates and delivers Murex Advanced Analytics (MACS) which is a combination of rich catalogue of derivative products covering all asset classes, and a large set of models for evaluation and risk management of derivatives.
We work closely with the quant development and integration teams to enhance our products and models. We provide our quantitative expertise and collaborate with Front Office Trading teams like EQD, Non-Linear Rates, FXD, COM, etc. to build trading solutions. Similarly, we assist Client Services and regional offices across the globe to provide cutting-edge solutions for our clients.
As an illustration of subjects, the team is currently investing heavily in the evolution and deployment of the last generation of Stochastic-Local Volatility model for FX and equity derivatives powered by neural networks acceleration, as well as the Forward Market Model for the interest rates derivatives, but also on the modernization of the integration stack of our whole catalogue of analytics. We leverage our REST services based internal ecosystem for model validation, with access to market data, and MACS pricing Service, to conduct the large-scale model tests using python. And we would like to automate our products testing further using MX.3 last generation of public APIs.
Your missions / What you'll do?
You will be working alongside financial engineers, consultants, quant analysts, model developers, model validators and product experts worldwide.
As a part of the cross-asset team, you will be contributing towards the common goal of the Analytics product management, more precisely:
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