About Morgan Stanley

Since our founding in 1935, Morgan Stanley has consistently delivered first-class business in a first-class way. Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 42 countries. Everything we do at Morgan Stanley is guided by our five core values: Do the Right Thing, Put Clients First, Lead with Exceptional Ideas, Commit to Diversity and Inclusion, and Give Back.

What We Offer

Morgan Stanley offers a dynamic and multifaceted environment which requires individuals to work closely with colleagues across various functions and the Business Unit in onshore regions. You will get to work with extremely talented peers in a meritocratic team-oriented culture.

Role Description

The Data Strats team at Morgan Stanley Research is looking for highly capable Python coders with a background in quant or data science. The individual will be an integral part of a small team working directly with research analysts to create and implement quantitative projects across the department, including models and automated visualizations. To succeed in this role, you should be a self-starter, creative, and curious, with an interest in leveraging data and technology to develop innovative solutions. We’re looking for someone with a unique blend of business, technical, and data skills who are looking to make an impact.

Responsibilities

·Work with research analysts and senior management to develop, institute, and maintain models and automated data processes

·Acquire, clean, maintain, and analyze data sets to support analyst models

·Help develop scalable data infrastructure, including visualization platforms

·Act as a Python expert within the department and create scalable Python libraries

About Morgan Stanley

Since our founding in 1935, Morgan Stanley has consistently delivered first-class business in a first-class way. Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 42 countries. Everything we do at Morgan Stanley is guided by our five core values: Do the Right Thing, Put Clients First, Lead with Exceptional Ideas, Commit to Diversity and Inclusion, and Give Back.

What We Offer

Morgan Stanley offers a dynamic and multifaceted environment which requires individuals to work closely with colleagues across various functions and the Business Unit in onshore regions. You will get to work with extremely talented peers in a meritocratic team-oriented culture.

Role Description

The Data Strats team at Morgan Stanley Research is looking for highly capable Python coders with a background in quant or data science. The individual will be an integral part of a small team working directly with research analysts to create and implement quantitative projects across the department, including models and automated visualizations. To succeed in this role, you should be a self-starter, creative, and curious, with an interest in leveraging data and technology to develop innovative solutions. We’re looking for someone with a unique blend of business, technical, and data skills who are looking to make an impact.

Responsibilities

·Work with research analysts and senior management to develop, institute, and maintain models and automated data processes

·Acquire, clean, maintain, and analyze data sets to support analyst models

·Help develop scalable data infrastructure, including visualization platforms

·Act as a Python expert within the department and create scalable Python libraries

Qualifications/Skills/Requirements

·2 years’ experience with general-purpose programming in Python

·2 years’ experience cleaning data using the Pandas and NumPy packages

·2 years’ experience in a quantitative role, such as financial engineering or data science

·Bachelor's degree in computer science, data science, or related fields

·Experience with the request’s library

·Demonstrated ability to QA and clean data

·Familiarity with higher-order analysis techniques, such as regressions or ML

·Exceptional organizational skills and attention to detail

·Excellent interpersonal and communication skills

·Experience with R, HTML, Java, MATLAB, Q, SQL, or Unix is a plus

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents

Qualifications/Skills/Requirements

·2 years’ experience with general-purpose programming in Python

·2 years’ experience cleaning data using the Pandas and NumPy packages

·2 years’ experience in a quantitative role, such as financial engineering or data science

·Bachelor's degree in computer science, data science, or related fields

·Experience with the request’s library

·Demonstrated ability to QA and clean data

·Familiarity with higher-order analysis techniques, such as regressions or ML

·Exceptional organizational skills and attention to detail

·Excellent interpersonal and communication skills

·Experience with R, HTML, Java, MATLAB, Q, SQL, or Unix is a plus

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents