Machine Learning Scientist - Madrid, España - JPMOrgan

Descripción

Overview

The Machine Learning Center of Excellence is a world-class machine learning team continually advancing state-of-the-art methods to solve a wide range of real-world financial problems using the company's vast and unique datasets.

Strategically positioned in the Chief Technology Office, our work spans across all of J.P.

Morgan's lines of business including Corporate & Investment Banking, Asset Wealth Management, Consumer & Community Banking, through every part of the organization from front office sales and trading, through to operations, technology, finance and more.

With this unparalleled access to the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.

Responsibilities:

Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production


Company:
JPMOrgan


Qualifications:
Minimum Qualifications

(ED): PhD in a related discipline, with at least ten years of industry or research experience.
(VP): PhD in a related discipline, with at least five years of industry or research experience.
(Assoc): PhD in a related discipline
Solid background in programming and mathematical skills
Hands-on experience and solid understanding of machine learning and deep learning methods
Extensive experience with machine learning and deep learning toolkits (e

g:
TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Scientific thinking and the ability to invent
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
Experience with big data and scalable model training
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Curious, hardworking and detail-oriented, and motivated by complex analytical problems
Ability to work both independently and in highly collaborative team environments

Beneficial Skills

Strong background in Mathematics and Statistics
Knowledge of Financial Markets products
Knowledge in Reinforcement Learning or Meta Learning
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
Ability to develop and debug production-quality code
Familiarity with continuous integration models and unit test development


Educational level:
Ph. D.


How to apply:
Please mention NLP People as a source when applying

Tagged as:
Big Data, Industry, Machine Learning, Natural Language Processing, Ph. D., Spain, Speech Recognition