Data Scientist / ML Engineer - Long-term Contract Opportunity - Fintech, NYC

M-Logic, Inc.; New York (NY); On-site; USD 125,000 - 150,000; Full time

Job summary

A leading fintech firm in NYC seeks a Data Scientist / ML Engineer for a long-term contract opportunity. The role involves improving models, exploring data, and implementing machine learning techniques across various asset classes. Ideal candidates should have an advanced degree and substantial experience in a related field, working 2-3 days in the office.

Qualifications

• 5+ years of experience in ML or data science focused role utilizing python.
• Strong development skills in production-ready code.
• Experience applying machine learning methods such as regression and classification.

Responsibilities

• Improve models using statistical and machine learning techniques.
• Develop POC and visualize data sets for new features.
• Perform back testing and implement solutions with IT.

Skills

Python

Machine Learning

Data Visualization

Statistical Analysis

Education

Advanced degree in Financial Engineering or similar

Tools

SQL Server

Job description

Data Scientist / ML Engineer - Long-term Contract Opportunity - Fintech, NYC

Data Scientist / ML Engineer - Long-term Contract Opportunity - Fintech, NYC

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This range is provided by M-Logic, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100.00/hr - $110.00/hr

Direct message the job poster from M-Logic, Inc.

Long-term contract opportunity with potential to hire full time. 2-3 days in office.

Financial analytics and technology and services firm headquartered in NYC with clients spanning buy and sell side firms is looking to hire a ML Engineer to join their data science team working closely with product development and technology project team members to help propel data products that consolidate all financing and capital markets data for every market, product, function and counterparty.

Responsibilities:

Improve and innovate models including statistical and machine learning techniques across various asset-classes e.g. Equities, Fixed Income, Derivatives, FX etc.

• Develop POC
• Visualize and explore data sets to enable the idea generation of new, predictive features
• Perform back testing
• Work with IT for implementation including spec design and testing
• Ensure daily data quality checks in production and more
• Advanced degree in Financial Engineering or similar with concentration on Data Science
• 5+years of experience in ML or data science focused role utilizing python back-end development
• Experience in applying machine learning methods (distribution analysis, regression, classification, clustering, LLM, etc.)
• Strong development skills using Python including writing production-ready code, implementation and deployment
• Experience with SQL Server
• Capital Markets knowledge
• Experience of Prime Brokerage, Securities Lending, Counterparty Risk

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Information Technology & Services and Financial Services

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