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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 ...

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 ...

Fidelity Investments

AM Quantitative Analyst II

Boston, MA · On-site

$165K - $200K/yr

Applies advanced econometrics, data science, and programming skills using Python, R, MATLAB, and SQL to analyze financial data and build visualization dashboards. Designs and implements advanced ...

New

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 ...

Fidelity Investments

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Programs using Python, R, MATLAB, SQL, and VBA. Handles financial packages using portfolio management tools -- FactSet and Bloomberg. Employs financial models to develop solutions to financial ...

Fidelity Investments

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Programs using Python, R, MATLAB, SQL, and VBA. Handles financial packages using portfolio management tools -- FactSet and Bloomberg. Employs financial models to develop solutions to financial ...

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Python Financial information

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How much do python financial jobs pay per hour?

As of Sep 10, 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 is a Python Financial?

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 do Python Financial professionals do?

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 are the key skills and qualifications needed to thrive in the Python Financial position?

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.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in quantitative analysis, trading, and risk management. It is widely used for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks and is often a key skill for finance-related roles.

What finance jobs require Python?

Finance jobs that require Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often involve data analysis, modeling, and automation, with proficiency in Python libraries such as pandas, NumPy, and scikit-learn being essential.

What job categories do people searching Python Financial jobs in Cumberland, RI look for?

The top searched job categories for Python Financial jobs in Cumberland, RI are:

Python Financial jobs near you
Infographic showing various Python Financial job openings in Cumberland, RI as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $108,670 per year, or $52.2 per hour.

Senior Data Scientist

Boston, MA • On-site

Ameriprise Financial
Funds, Trusts and Financial Programs • 5 - 10K employees
Learn more about Ameriprise Financialexternal

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 27 days ago

Key responsibilities

  • Develop and implement complex analytical solutions leveraging predictive modeling, machine learning, simulation, and optimization techniques to support Asset Management business objectives.

  • Perform dataset creation, including data extraction, variable creation, and data quality control for analytics, model development, and validation.

  • Monitor execution of analytical solutions, ensure proper delivery, and translate modeling and analytic output into understandable and actionable business knowledge.

Ameriprise rating

7.7

Company rating: 7.7 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

Job description

About Our Company
We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.
Job Description
Ameriprise Financial is looking to add a Senior Data Scientist to the team! The individual in this role will support modeling, data analysis, and database needs for the assigned line of business (Columbia Threadneedle Investments Asset Management). You will create large data sets, provide information-based decision logic and predictive modeling solutions, and translate modeling/analytic output into understandable/actionable business knowledge, insight and applications. You will demonstrate strong technical and problem-solving skills and support multiple projects.
Key Responsibilities
  • Develop and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions to support Asset Management business objectives. May lead efforts on small-medium sized projects.
  • Perform dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation.
  • Monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results. Partner closely with leader and others to ensure proper delivery.
  • Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Help identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.
  • Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.
  • Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders.
  • Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices.

Required Qualifications
  • Master's degree
  • 1 to 3 years of relevant experience required
  • Knowledge of advanced statistical concepts and techniques; skilled in linear algebra.
  • Competence using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.
  • Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in a data-rich environment.
  • Ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners.
  • Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.
  • Ability to work effectively in a collaborative team environment.

Preferred Qualifications
  • Ph.D.
  • Degree in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.)
  • Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark, Dataiku, Amazon SageMaker etc.
  • Background in asset management or financial services.

In-Office Collaboration
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.
Visa Sponsorship
Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).
Base Pay Salary
The estimated base salary for this role is $78,700- $138,200/year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.
Full-Time/Part-Time
Full time
Exempt/Non-Exempt
Exempt
Job Family Group
Data
Line of Business
CSIRM Information Management
Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

What Ameriprise employees say

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About Ameriprise

Sourced by ZipRecruiter

At Ameriprise Financial, we're not just in the business of helping clients with their financial goals - we also help our advisors and employees reach their true potential by embracing an inclusive and collaborative culture. We celebrate the unique qualities and reward the contributions of our talented, passionate employees. If you're motivated and want to work for a strong, ethical company that cares about you and your community, take the next step with Ameriprise Financial.

Industry

Funds, trusts and financial programs

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

1894

Social media

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