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Python Financial Jobs in Cumberland, RI (NOW HIRING)

Ameriprise Financial

Senior Data Scientist

Boston, MA · On-site

We are a longstanding leader in financial planning and advice, a global asset manager and an ... Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in ...

Bright Mind Solutions LLC

React Engineer

Boston, MA · On-site

Must be local to Boston Strong React and Python experience required (minimum 5 years) Finance/quant exposure is a major plus Strong Communication and personality If you are interested or have any ...

Career Renew

Data Engineer

Boston, MA · Hybrid

$124K - $149K/yr

You'll work with SQL, Python, DBT, and modern data pipeline tools to power a single source of truth for CFOs and Finance teams at complex businesses. Accuracy is non-negotiable - the data you deliver ...

Career Renew

Data Engineer

Boston, MA · Hybrid

$150K - $250K/yr

You'll work with SQL, Python, DBT, and modern data pipeline tools to power a single source of truth for CFOs and Finance teams at complex businesses. Accuracy is non-negotiable - the data you deliver ...

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All JobsPython Financial JobsPython Financial Jobs in Cumberland, RI

Python Financial information

See Cumberland, RI salary details

$11

$52

$76

How much do python financial jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for python financial in Cumberland, RI is $52.25, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $59.33 per hour, depending on experience, location, and employer.

What are some common projects or tasks Python Financial professionals work on in a typical week?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What is a Python Financial job?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What are the key skills and qualifications needed to thrive in the Python Financial position, and why are they important?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

What are popular job titles related to Python Financial jobs in Cumberland, RI? For Python Financial jobs in Cumberland, RI, the most frequently searched job titles are:
Python Financial jobs near you
Infographic showing various Python Financial job openings in Cumberland, RI as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,670 per year, or $52.2 per hour.
Machine Learning Scientist (Financial Scoring)

Machine Learning Scientist (Financial Scoring)

Lendbuzz

Boston, MA

Full-time

Posted 13 days ago

Job description

At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.

We are looking for a talented Machine Learning Scientist who is passionate about delivering impactful solutions and thrives in a dynamic, collaborative environment. The ideal candidate will possess a strong background in software development, excellent data analysis and communication skills, and a deep understanding of machine learning and statistics.

 
Responsibilities

  • Build machine learning and deep learning models based on financial and other modalities like images and text

  • Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems

  • Conduct extensive analysis to better understand our continually evolving datasets and validate model performance

  • Design and develop robust, scalable pipelines and services using software engineering best practices

  • Implement end-to-end solutions, including architecture design, business logic, and deployment

  • Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases

  • Stay updated with advancements in machine learning and related technologies to continuously improve our solutions

Requirements

  • Ph.D in Computer Science, Statistics, Mathematics or a related field

  • 2+ years of relevant industry or postdoc experience

  • Solid understanding of computer science fundamentals, including data structures and algorithms and object oriented programming

  • Deep understanding of machine learning models and algorithms

  • Deep understanding of probability and statistics

  • Strong data analysis skills and experience working with messy real world data

  • Proficiency in python and familiarity with commonly used machine learning libraries such as numpy, pandas, torch, and scikit-learn

  • Excellent communication skills

We believe:
 
Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.
 
Compassion is a strength. We care about our customers and look to build long-term relationships with them.
 
Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible.
 
Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.
 
Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.
 
If you believe these things too then we would love to hear from you!
 
 
Background Checks
After an offer is accepted, Lendbuzz conducts a pre-employment background check. Any evaluation of the background check will be subject to an individualized assessment, taking into account the applicant’s or employee’s specific record and the responsibilities and requirements of the particular role.
 
 
A Note on Recruiting Outreach

We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.