Vice President – Applied AI ML Lead | JPMorgan Chase Bank, N.A. | New York, NY

Local Jobs JPMorgan Chase Bank, N.A.
  • United States, New York, NY View on Map
  • Post Date : November 27, 2020
  • Apply Before : December 27, 2020
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Job Description

CIB Applied AI & Machine Learning – Digital Investment Bank


About J.P. Morgan Corporate & Investment Bank

J.P. Morgan’s Corporate & Investment Bank is a global leader across banking, markets, securities services and wholesale payments. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. The Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.


About Data Analytics within Corporate & Investment Bank

Data Analytics at J.P. Morgan Corporate Investment Bank combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make. In this role, you will be part of our industry-leading data analytics team, and advance the state-of-the-art in financial applications ranging from generating business intelligence to predictive models and automated decision making.

The role will be in the firm’s Applied AI and Machine Learning organization and will involve working closely with Digital & Platform Services Operations.


About Digital Investment Bank

Integrated into the firm’s global Banking Transformation initiative, the Digital Investment Bank’s is powering clients and bankers’ decision making through data and analytics delivered in a market-leading user experience. It operates as a dedicated interdisciplinary team of data scientists and developers led by banking and product experts to generate insightful business-led analytics.


Responsibilities

The successful candidate will apply data science techniques from both traditional statistics and machine learning to a combination of third party, publically available and J.P. Morgan proprietary datasets, with the goal of answering questions relevant to Digital Investment Bank (DIB). Key responsibilities include:

  • Work on longer term projects as a Data Science Lead, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases.
  • Lead Data Science project end to end , building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases
  • As a VP, the candidate must be able to define a project roadmap and be responsible for the execution in a timely manner. Must be able to manage other team members and guide them in the execution
  • Collaborate with DIB colleagues to formulate relevant financial and business questions that can be answered by data science.
  • Develop domain knowledge on Investment Banking products (Capital Markets, Mergers and Acquisitions, valuation, Shareholder Activism)
  • Research and analyze data sets using a variety of statistical and machine learning techniques
  • Communicate final results and give context.
  • Document approach and techniques used.
  • Collaborate with other J.P. Morgan applied AI and machine learning teams.


Required Technical Qualifications and experience

  • MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Operations Research, Data Science, Economics, Engineering, Physics.
  • Must have an understanding of standard data science tooling. Ability to use different techniques to analyze and visualize data
  • Strong ability to develop and debug in Python, SQL or similar professional programming language.
  • Experience in Analytics and Machine Learning/Artificial Intelligence including skills to correctly interpret data
  • Must be curious, enthusiastic, hardworking and detail-oriented, and motivated by complex analytical problems.
  • Must be able to undertake basic and advanced EDA, should be aware of limitation and implication of methodology choices.
  • Must be a data-driven problem-solving person that is able to identify what is relevant as well as understanding how its role as a Data Scientist intersects with engineers and product teams
  • Must have an interest in finance, investment banking or related fields


Nice to Have

  • Experience with machine learning APIs and computational packages (examples: TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
  • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.
  • Should be able to work both individually and collaboratively in teams, in order to achieve project goals.
  • Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals.
  • Must be able to independently research and propose alternatives with some guidance as to problem relevance.


About Us

J.P. 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 are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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.


About the Team

The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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 are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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.

Equal Opportunity Employer/Disability/Veterans

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Vice President – Applied AI ML Lead | JPMorgan Chase Bank, N.A. | New York, NY

Local Jobs JPMorgan Chase Bank, N.A.
  • United States, New York, NY View on Map
  • Post Date : November 19, 2020
  • Apply Before : December 19, 2020
  • Share:

Job Description

CIB Applied AI & Machine Learning – Digital Investment Bank


About J.P. Morgan Corporate & Investment Bank

J.P. Morgan’s Corporate & Investment Bank is a global leader across banking, markets, securities services and wholesale payments. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. The Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.


About Data Analytics within Corporate & Investment Bank

Data Analytics at J.P. Morgan Corporate Investment Bank combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make. In this role, you will be part of our industry-leading data analytics team, and advance the state-of-the-art in financial applications ranging from generating business intelligence to predictive models and automated decision making.

The role will be in the firm’s Applied AI and Machine Learning organization and will involve working closely with Digital & Platform Services Operations.


About Digital Investment Bank

Integrated into the firm’s global Banking Transformation initiative, the Digital Investment Bank’s is powering clients and bankers’ decision making through data and analytics delivered in a market-leading user experience. It operates as a dedicated interdisciplinary team of data scientists and developers led by banking and product experts to generate insightful business-led analytics.


Responsibilities

The successful candidate will apply data science techniques from both traditional statistics and machine learning to a combination of third party, publically available and J.P. Morgan proprietary datasets, with the goal of answering questions relevant to Digital Investment Bank (DIB). Key responsibilities include:

  • Work on longer term projects as a Data Science Lead, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases.
  • Lead Data Science project end to end , building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases
  • As a VP, the candidate must be able to define a project roadmap and be responsible for the execution in a timely manner. Must be able to manage other team members and guide them in the execution
  • Collaborate with DIB colleagues to formulate relevant financial and business questions that can be answered by data science.
  • Develop domain knowledge on Investment Banking products (Capital Markets, Mergers and Acquisitions, valuation, Shareholder Activism)
  • Research and analyze data sets using a variety of statistical and machine learning techniques
  • Communicate final results and give context.
  • Document approach and techniques used.
  • Collaborate with other J.P. Morgan applied AI and machine learning teams.


Required Technical Qualifications and experience

  • MS or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics, Operations Research, Data Science, Economics, Engineering, Physics.
  • Must have an understanding of standard data science tooling. Ability to use different techniques to analyze and visualize data
  • Strong ability to develop and debug in Python, SQL or similar professional programming language.
  • Experience in Analytics and Machine Learning/Artificial Intelligence including skills to correctly interpret data
  • Must be curious, enthusiastic, hardworking and detail-oriented, and motivated by complex analytical problems.
  • Must be able to undertake basic and advanced EDA, should be aware of limitation and implication of methodology choices.
  • Must be a data-driven problem-solving person that is able to identify what is relevant as well as understanding how its role as a Data Scientist intersects with engineers and product teams
  • Must have an interest in finance, investment banking or related fields


Nice to Have

  • Experience with machine learning APIs and computational packages (examples: TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
  • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc.
  • Should be able to work both individually and collaboratively in teams, in order to achieve project goals.
  • Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals.
  • Must be able to independently research and propose alternatives with some guidance as to problem relevance.


About Us

J.P. 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 are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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.


About the Team

The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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 are an equal opportunity employer and place a high value on diversity and inclusion at our company. 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.

Equal Opportunity Employer/Disability/Veterans

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