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Python Back Jobs in Boston, MA (NOW HIRING)

Fidelity Investments

AM Quantitative Analyst I

Boston, MA · On-site

$145K/yr

... back-testing infrastructure for equity and credit portfolios using Python; developing sentiment-based signals using Natural Language Processing (NLP) and Machine Learning (ML) techniques (Natural ...

OnCorps LLC

Software Engineer

Boston, MA · On-site

Design, build, and maintain robust backend APIs and services using Python to power the core ... Prior exposure to middle- and/or back-office operations within the financial industry or fund ...

OnCorps LLC

Software Engineer

Boston, MA · On-site

Design, build, and maintain robust backend APIs and services using Python to power the core ... Prior exposure to middle- and/or back-office operations within the financial industry or fund ...

State Street Global Advisors

AI Developer, AVP

Burlington, MA · On-site

$54.75 - $75.25/hr

Embeds AI into front-to-back workflows, improving productivity, automation, and decision-making for ... Proficiency in Python and at least one additional language (Java, C#, or TypeScript) * Experience ...

HPR

Applications Engineer II

Needham, MA · On-site

$90K - $135K/yr

Drive best practices and lessons learned from evaluations/benchmarks and customer interactions back ... Experience with Python and Shell scripting * Proficient understanding of networking technologies ...

HPR

Applications Engineer II

Needham, MA · On-site

$90K - $135K/yr

Drive best practices and lessons learned from evaluations/benchmarks and customer interactions back ... Experience with Python and Shell scripting * Proficient understanding of networking technologies ...

InvoiceCloud

Senior AI Engineer

Boston, MA · Hybrid

$113K - $155K/yr

... Azure using Python and .NET, and use AI-powered development tools like Claude Code and GitHub ... predictions back into production systems, owning the full data-to-decision pipeline. Drives ...

Purple Carrot

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify ... You've got opinions, and you're not afraid to share them - pushing back when it's the right call ...

Purple Carrot

Senior Data Analyst

Dedham, MA · Hybrid

$95K - $115K/yr

As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify ... You've got opinions, and you're not afraid to share them - pushing back when it's the right call ...

Purple Carrot

Senior Data Analyst

Dedham, MA · On-site

$95K - $115K/yr

As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify ... You've got opinions, and you're not afraid to share them - pushing back when it's the right call ...

PetsApp

Senior Full Stack Engineer

Boston, MA · On-site

$170 - $180/hr

The ideal candidate will have a strong background in Python and Django, a deep understanding of ... Note that this role is based in our Back Bay office in Boston. Daylit welcomes applicants with any ...

SwiftCruit

Senior Quantitative Developer

Boston, MA · On-site

$170 - $325/hr

... back-testing the signals, and producing return, risk and trading cost forecasts based on the ... Writing and maintaining Python libraries that supports the investment research production processes

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Python Back information

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How much do python back jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for python back in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

Are Python Back still in demand in 2026?

Python backend development remains in high demand in 2026 due to its widespread use in web development, data science, and automation. Skills in frameworks like Django and Flask, along with knowledge of APIs and databases, are valuable for backend roles. The demand is driven by the ongoing need for scalable, efficient server-side solutions across industries.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries like Django and Flask. Many companies seek Python developers for web applications, data analysis, and automation, making it a valuable skill for backend roles.

What are 10 careers related to Python?

Careers related to Python include Python developer, data scientist, machine learning engineer, software engineer, automation engineer, data analyst, backend developer, DevOps engineer, cybersecurity analyst, and research scientist. These roles often require knowledge of programming, data analysis, and software development tools, with many positions demanding proficiency in Python libraries and frameworks.

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Python Back jobs near you

AM Quantitative Analyst I

Fidelity Investments

Boston, MA • On-site

$145K/yr

Full-time

Re-posted 4 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
Position Description:
Conducts research to mitigate portfolio exposure to risk factors including equity beta and duration within a multi-asset and liability-driven investment context. Builds robust quantitative tools to support all aspects of portfolio construction. Monitors, measures, and attributes portfolio risks and returns. Assists with the implementation of multi-asset class portfolios. Develops Python code to implement financial models that drive global market asset allocation and security selection. Creates web-based tools and dashboards using Python and Dash to visualize fund performance and risk metrics. Performs attribution and risk analysis on managed fund performance.
Primary Responsibilities:
  • Conducts research on strategic design and active allocation, from initial concept through full implementation.
  • Understands, maintains, and improves infrastructure that supports the investment process.
  • Builds and automates tools to monitor portfolios for compliance with mandates and risk boundaries.
  • Builds dashboards to help portfolio managers manage client portfolios.
  • Collaborates closely with investment and technology professionals within the division.
  • Provides insights and investment recommendations that are based on quantitative analysis.
  • Assists in domestic and international multi asset class research.
  • Supports multi-account portfolio construction processes.
  • Establishes and tests optimal investment strategies and conducts risk analyses to ensure successful transitions.
  • Provides insights and investment recommendations based on quantitative analyses.
  • Collaborates with portfolio managers and develops analytics studies using new strategies.
  • Supports and tests strategies related to investment and portfolio construction.
  • Develops investment action plans based on thorough financial analysis.
  • Conducts quantitative analysis of financial data and investment programs, including business valuations for public and private institutions.

Education and Experience:
Bachelor's degree in Accounting, Economics, Finance, Statistics, Mathematics, Financial Engineering, or a closely related field (or foreign education equivalent) and three (3) years of experience as an AM Quantitative Analyst I (or closely related field) performing quantitative analysis to support portfolio management within an asset management and investment products environment.
Or, alternatively, Master's degree in Accounting, Economics, Finance, Statistics, Mathematics, Financial Engineering, or a closely related field (or foreign education equivalent) and no experience.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing research for tactical asset allocation models and developing long-term strategic asset allocation benchmarks for new products, using Python; implementing Black-Litterman based models for multi-asset portfolio construction using Gurobi; performing factor modeling focused on carry and valuation, including extended credit strategies in emerging market debt, leveraged loans, and high yield, using Pandas and NumPy; and developing capital market assumptions and integrating them into allocation frameworks, using Python.
  • DE monitoring and reporting portfolio risk using empirical and Barra-based factor models in Python and R; modeling currency risk using non-USD numeraires, implementing currency risk hedging with synthetic assets, and applying derivative building blocks to expand the hedging platform, using Python, R and SQL; developing empirical risk models and API tools for ex-post risk attribution, integrating dynamic factors, historical currency exposures, and tracking error decomposition in Python and JSON; and constructing pension portfolios to hedge liability duration and risk, using SQL and R.
  • DE conducting bottom-up research on multi-asset building blocks for alpha signal development; designing long and short equity strategies; building back-testing infrastructure for equity and credit portfolios using Python; developing sentiment-based signals using Natural Language Processing (NLP) and Machine Learning (ML) techniques (Natural Language Toolkit (NLTK) and PyTorch); implementing constrained portfolio optimization and risk attribution using Convex Optimization (CVXOPT) and Gurobi; and running optimizers with turnover limits, risk constraints, and tradability adjustments using mixed-integer optimization to simplify portfolio implementation in Gurobi.
  • DE collaborating with quant developers for production deployment in Autosys using cloud-based environment (AWS); implementing Extract, Transform and Load (ETL) pipelines and multiprocessing framework for data processing, using JavaScript Object Notation (JSON); and modernizing legacy code in MATrix LABoratory (MATLAB) and migrating to non-proprietary languages for improved readability and maintainability, using Python.

Salary: $145,000.00 to $175,000.00/year.
#PE1M2
#LI-DNI
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Investment Professionals
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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