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Quantitative Research
hace 3 meses
About Quantitative Research
Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modelling and portfolio management.
As a global team, QR partners with traders, marketers, structurers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.
Opportunity
In addition, we provide on-job training, intensive internal classroom training and online courses, all given by our experienced quants.
Through the diversity of the businesses it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career.
Your Impact
You'll contribute to the firm's product innovation, effective risk management and financial risk controls, working on the whole end-to-end process - specifically, you'll have the chance to focus on:
- Interacting with Structuring in the analysis of Client and Trading requirements;
- Platform architecture and development alongside our partners in Technology;
- Design, implementation and lifecycle management of complex strategies;
- Analytical tools for risk analysis and strategy explorations;
- Deskaligned pre & post trade support;
- Enhancing our pricing and risk management library.
About You
- Positive, cando attitude, with a strong sense of duty towards our clients and stakeholders;
- You demonstrate exceptional quantitative and problemsolving skills as well as research skills;
- You have experience of working in Front Office environment or in close collaboration with Front Office partners;
- You demonstrate proficiency in code design and programming skills, with primary focus on Python but also C++ ;
- You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs;
- You think strategically and creatively when faced with problems and opportunities. You always try to improve the way things are done;
- You are enthusiastic about knowledge sharing and collaboration;
- You can engage and influence partners and stakeholders using your excellent communications skills, both verbal and written;
- You are good at communicating concepts and ideas, also via documentation, and you are keen to defend their validity and tailor messages to different audiences.
Desirables
- Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. Relevant academic research publications are a plus;
- Good practical knowledge of derivatives pricing and risk management theory, vanilla options and volatility products;
- Practical data analytics skills on real data sets gained through handson experience, including familiarity with methods for working with large data and tools for data analysis (pandas, numpy, scikit, TensorFlow);
Beyond that, we're interested in the things that make you unique: personal qualities, outside interests and achievements beyond academia and profession that demonstrate the kind of person you are and the differences you could bring to the team.
Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors.
Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
