Python Full Stack Developer with Financial

MACHINE LEARNING TECHNOLOGIES LLC; Town of Andes (NY); Hybrid; USD 83,000 - 131,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Python Full Stack Developer with Financial Services industry experience to join our team in the New York City area or other U.S. locations.

The role focuses on developing, supporting, and maintaining risk analytics applications and models (CCAR/CECL) with ML tooling, Spark clusters, and REST API services. The candidate will design backend features, work with cross-functional teams, ensure code quality, implement tests, and participate in the

Qualifications

• Bachelor/Master Degree in computer science engineering or a related discipline.
• 5-6 years of experience in software development or a related field.
• Proficiency in Python, Java and UI development using React (Preferred)/Angular or equivalent and database & SQL.
• Experience with Agile practices such as CI/CD workflows and GitLab, unit testing and deployment will be preferred.

Responsibilities

• Design and development of backend features and components.
• Collaborating with other engineers in design and development.
• Help triage bugs, track software defects, and ensure their timely resolution.
• Follows technical standards and quality. Interface with product and other functional teams and their leadership.
• Programming well-designed, testable, efficient code.
• Analyze, design and develop tests and test-automation suites.
• Develop flowcharts, layouts and documentation to satisfy requirements and solutions.
• Maintain software functionality and currency (technical debt and gain).
• Actively participate in code reviews.
• Integrate software components into a fully functional software system.
• Apply security and privacy principles.
• Execute full lifecycle software development.
• Develop software verification plans and quality assurance procedures.
• Troubleshoot, debug and upgrade existing systems.
• Ensure software is updated with latest features.
• Participate in deployment process following all change controls.
• Provide ongoing maintenance, support and enhancements in existing systems and platforms.

Skills

Financial services experience

Python

React

CCAR

Risk models

Spark

ML

REST APIs

SQL

Education

Bachelor/Master Degree in computer science or related

Tools

GitLab

JupyterHub

Job description

Job Description

Job Overview

• Job ID: J52189
• Job Title: Python Full Stack Developer with Financial Services Industry exp
• Location: New York City Area (Strongly Preferred) / Pittsburgh, PA / Lake Mary, Florida
• Duration: 22 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Full Job Description

Mandatory Skills

Need Profiles from Financial Services, Python, React, CCAR, Risk Models, Spark, ML, REST APIs, SQL

We are looking for candidates with experience in developing, supporting and maintaining applications to run risk models e.g. CCAR and CECL financial analytics models covering forecasting (Balance Sheet, Macroeconomic Factors, Expense and Fee Revenue, etc.) and calculation (Market & Credit Risks, Risk Weighted Assets, Stress Capital Buffer Ratio, etc.) and using analytics platform (compute cluster, GPU cluster, Spark/Hadoop, JupyterHub, Machine Learning(ML) toolkits, REST API, Micro-Services).

Design and development of backend features and components. Collaborating with other engineers in design and development. Help triage bugs, track software defects, and ensure their timely resolution. Follows technical standards and quality. Interface with product and other functional teams and their leadership. Programming well-designed, testable, efficient code. Analyze, design and develop tests and test-automation suites. Develop flowcharts, layouts and documentation to satisfy requirements and solutions. Maintain software functionality and currency (technical debt and gain). Actively participate in code reviews. Integrate software components into a fully functional software system. Apply security and privacy principles. Execute full lifecycle software development. Develop software verification plans and quality assurance procedures. Troubleshoot, debug and upgrade existing systems. Ensure software is updated with latest features. Participate in deployment process following all change controls. Provide ongoing maintenance, support and enhancements in existing systems and platforms.

Qualifications

• Bachelor/Master Degree in computer science engineering or a related discipline.
• 5-6 years of experience in software development or a related field.
• Strong problem solving and analytical thinking skills with knowledge of computer science fundamentals.
• Proficiency in Python, Java and, UI development using React (Preferred)/Angular or equivalent and database & SQL.
• Experience with software development using Agile practices such as developing CI/CD workflows and tools like GitLab, unit testing and deployment will be preferred.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.