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Manager Machine Learning Finance Jobs in New York

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... Build and manage efficient pipelines for rapid experimentation and hypothesis testing. * Experiment ...

WireScreen

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

... financial ties behind companies so our customers can see connections, remove obstacles, and make ... As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ...

Canals

Machine Learning Engineer

New York, NY · On-site

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ...

Canals

Machine Learning Engineer

New York, NY · Remote

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ...

Canals, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$120/hr

Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle ... We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ...

Jane Street

Machine Learning Researcher

New York, NY

About You If you've never thought about a career in finance, you're in good company. Many of us ... Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

About You If you've never thought about a career in finance, you're in good company. Many of us ... Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn ...

Teleskope

Machine Learning Engineer

New York, NY · On-site

$160K - $210K/yr

... manage data sprawl while securely enabling AI adoption. Fresh off our $25 million Series A round ... A beautiful, well-stocked office in NYC's Financial District. * Flexible vacation and work from ...

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Manager Machine Learning Finance information

What does a manager of machine learning in finance do?

A Manager of Machine Learning in Finance oversees teams that develop and implement machine learning models to solve financial problems, such as risk assessment, fraud detection, and algorithmic trading. They coordinate with data scientists, engineers, and business stakeholders to ensure models meet regulatory standards and align with company goals. Additionally, they are responsible for project management, mentoring team members, and staying updated with advancements in both finance and artificial intelligence.

What are the key skills and qualifications needed to thrive as a manager of machine learning in finance, and why are they important?

To thrive as a Manager of Machine Learning in Finance, you need strong expertise in machine learning, statistics, and financial analysis, typically supported by a relevant advanced degree and experience in both data science and finance. Familiarity with programming languages like Python or R, cloud platforms, and machine learning frameworks such as TensorFlow or Scikit-learn is essential, along with knowledge of regulatory compliance systems. Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling effective team management and cross-functional collaboration. These skills and qualities are crucial to drive innovative solutions, ensure regulatory adherence, and deliver business value in a complex financial environment.

What is the difference between Manager Machine Learning Finance vs Data Scientist Finance?

AspectManager Machine Learning FinanceData Scientist Finance
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or Finance; certifications in machine learning or data analysisBachelor's or Master's in Data Science, Statistics, or related fields; often includes certifications in data analysis or programming
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in financeAnalyzes data, develops models, supports decision-making in finance teams
Employer & Industry UsageFinancial institutions, hedge funds, investment firmsFinancial firms, banks, fintech companies

The Manager Machine Learning Finance oversees teams and projects applying machine learning to finance problems, focusing on leadership and strategy. In contrast, Data Scientists in finance primarily analyze data and develop models to support financial decisions. Both roles require strong technical skills, but the manager role emphasizes team management and project oversight.

Can manager machine learning finance be used in finance?

A Manager of Machine Learning in Finance oversees the development and implementation of machine learning models to improve financial analysis, risk management, and trading strategies. This role requires strong programming skills, knowledge of financial markets, and experience with tools like Python, R, or specialized ML platforms. It is widely used in finance to automate processes, detect fraud, and enhance decision-making.

How does a manager of machine learning in finance typically collaborate with cross-functional teams?

A Manager of Machine Learning in Finance often works closely with data scientists, software engineers, financial analysts, and business stakeholders. They are responsible for translating business problems into machine learning solutions and ensuring models meet both technical and regulatory requirements. Regular meetings and clear communication are essential, as the manager must align team efforts with organizational goals, facilitate knowledge sharing, and integrate model outputs into financial decision-making processes. Collaboration also involves coordinating with IT for data infrastructure and with compliance teams to uphold data privacy standards.

Is manager machine learning finance a high paying job?

Manager roles in machine learning within finance are typically high-paying due to the specialized skills required, such as expertise in data science, programming, and financial modeling. Salaries often reflect experience, location, and the complexity of projects, with many positions offering competitive compensation packages. Certifications and advanced degrees can also influence earning potential.
What are the most commonly searched types of Machine Learning Finance jobs in New York? The most popular types of Machine Learning Finance jobs in New York are:
Manager Machine Learning Finance jobs near you
Infographic showing various Manager Machine Learning Finance job openings in New York as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Machine Learning Researcher

Morgan Stanley

Manhattan, NY • On-site

Full-time

Re-posted 6 days ago

Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

30th of 150 rated financial services

Job description

Job Summary:
Morgan Stanley's Machine Learning Research Department is dedicated to solving mission-critical problems across various business units and technology teams. They are seeking a candidate who can tackle research problems with commercial applications, leveraging their academic expertise in real-world financial issues.
Responsibilities:
• Development experience in Python or R (C, C++, Java, etc is a plus)
• Deep understanding of statistical learning methods
• Strong communications and organizational skills
• 4+ years of applicable research experience
Qualifications:
Required:
• Development experience in Python or R (C, C++, Java, etc is a plus)
• Deep understanding of statistical learning methods
• Strong communications and organizational skills
• 4+ years of applicable research experience
• Bachelor's degree required, Ph.D. desired
Preferred:
• Track record of exceptionally creative, hands-on, high-impact machine learning research and applications, evidenced by publications in competitive venues
• Broad experience across multiple fields
Company:
Morgan Stanley is a financial services institution that delivers capital management, investment banking, and advisory solutions. Founded in 1935, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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