DescriptionThe Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firms data and analytics journey. This includes ensuring the quality integrity and security of the companys data as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firms commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products improve productivity and enhance risk management effectively and responsibly.
As a Machine Learning Scientist - Quant AI - Senior Associate within the Chief Data & Analytics Office (CDAO) you will work in a highly collaborative environment together with the business technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking a deep desire to learn and be highly motivated.
Job Responsibilities:
- Research develop and productionize high-performance machine learning and quantitative models.
- Collaborate with JPMorgans lines of business to deliver impactful software solutions.
- Design and implement scalable data processing pipelines to optimize business results.
Required Qualifications Capabilities and Skills:
- PhD in a quantitative discipline (e.g. Computer Science Electrical Engineering) with 2 years of industry experience or MS with 5 years of experience.
- Proficient in programming languages such as C/C Java or Python.
- 2 years of experience in software development and data structures.
- Deep knowledge in Machine Learning Deep Learning and related fields.
- Experience with major machine learning frameworks like TensorFlow and PyTorch.
- Skilled in ETL pipelines and real-time data processing.
- Strong analytical and critical thinking skills.
- Self-motivated with excellent communication and teamwork abilities.
Preferred Qualifications Capabilities and Skills:
- Experience with computational graphs and JIT compilation.
- Knowledge of hardware accelerators GPUs and profiling tools.
- Familiarity with cloud computing platforms (Google Cloud AWS Azure).
- Experience in distributed system design and development.
- Background in derivatives modeling or portfolio management.
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorganChases review of criminal conviction history including pretrial diversions or program entries.
#MLCOEjobs
Required Experience:
Senior IC
DescriptionThe Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firms data and analytics journey. This includes ensuring the quality integrity and security of the companys data as well as leveraging this data to generate insights and drive decision-making. T...
DescriptionThe Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firms data and analytics journey. This includes ensuring the quality integrity and security of the companys data as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firms commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products improve productivity and enhance risk management effectively and responsibly.
As a Machine Learning Scientist - Quant AI - Senior Associate within the Chief Data & Analytics Office (CDAO) you will work in a highly collaborative environment together with the business technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking a deep desire to learn and be highly motivated.
Job Responsibilities:
- Research develop and productionize high-performance machine learning and quantitative models.
- Collaborate with JPMorgans lines of business to deliver impactful software solutions.
- Design and implement scalable data processing pipelines to optimize business results.
Required Qualifications Capabilities and Skills:
- PhD in a quantitative discipline (e.g. Computer Science Electrical Engineering) with 2 years of industry experience or MS with 5 years of experience.
- Proficient in programming languages such as C/C Java or Python.
- 2 years of experience in software development and data structures.
- Deep knowledge in Machine Learning Deep Learning and related fields.
- Experience with major machine learning frameworks like TensorFlow and PyTorch.
- Skilled in ETL pipelines and real-time data processing.
- Strong analytical and critical thinking skills.
- Self-motivated with excellent communication and teamwork abilities.
Preferred Qualifications Capabilities and Skills:
- Experience with computational graphs and JIT compilation.
- Knowledge of hardware accelerators GPUs and profiling tools.
- Familiarity with cloud computing platforms (Google Cloud AWS Azure).
- Experience in distributed system design and development.
- Background in derivatives modeling or portfolio management.
FEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. As such an employment offer for this position is contingent on JPMorganChases review of criminal conviction history including pretrial diversions or program entries.
#MLCOEjobs
Required Experience:
Senior IC
View more
View less