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Quant Python Remote Jobs in Norwalk, CT (NOW HIRING)

pitneybowes

RevOps Analytics Manager

Shelton, CT · On-site +1

$100K - $120K/yr

You Bring * Bachelor's degree in technology or a quantitative field (Analytics, Statistics ... Preferred * Experience with Python. * Experience with Snowflake Intelligence / Agentic AI.

The Altus Group

Consultant, Advisory

New York, NY · On-site +1

Includes presenting sets of primarily quantitative raw data in a schematic form. The visuals used ... R or Python Statistical Programming, Structured Query Language (SQL), Tableau/Power BI, Snowflake)

Bread Financial

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

... other quantitative fields * Advanced machine learning modeling and/or technical expertise in ... Python (Programming Language) * R Statistics * Statistical Analysis * Statistics * Time Series ...

Ts Imagine

Implementation Consultant

New York, NY · On-site +1

$100K - $125K/yr

... remote support Manage complex implementation projects across internal and external teams to make ... Quantitative Finance, Economics, Math, Physics, Engineering, Computer Science or another similar ...

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All JobsQuant Python JobsQuant Python Remote JobsQuant Python Remote Jobs in Norwalk, CT

Quant Python Remote information

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$13

$58

$86

How much do quant python remote jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for quant python remote in Norwalk, CT is $58.84, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $66.83 per hour, depending on experience, location, and employer.

What is a Quant Python Remote?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

What are the key skills and qualifications needed to thrive as a Quant Python Remote professional?

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.

What is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What are popular job titles related to Quant Python Remote jobs in Norwalk, CT?

For Quant Python Remote jobs in Norwalk, CT, the most frequently searched job titles are:

What job categories do people searching Quant Python Remote jobs in Norwalk, CT look for?

The top searched job categories for Quant Python Remote jobs in Norwalk, CT are:

What cities near Norwalk, CT are hiring for Quant Python Remote jobs?

Cities near Norwalk, CT with the most Quant Python Remote job openings:

Quant Python Remote jobs near you
Infographic showing various Quant Python Remote job openings in Norwalk, CT as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $122,393 per year, or $58.8 per hour.

Senior Data Scientist - USA Remote

New York, NY • On-site, Remote

BMC Software, Inc.
Computer and Computer Peripheral Equipment and Software Wholesalers • 5 - 10K employees
Learn more about BMC Software, Inc.external

Full-time

Re-posted 2 hours ago

Job description

Basic Information
Job Name
Sr Data Scientist - USA
Country
United States
State
NA
Date Published
12-Aug-2026
Job ID
47415
Travel
You may occasionally be required to travel for business
This role can be based remotely in United States
Looking for more details about our benefits? You can also learn all about them by clicking HERE
Description and Requirements
BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world's largest organizations so they can seize a competitive advantage.
Senior Data Scientist
We are seeking a highly skilled Data Scientist with deep experience in B2B SaaS to lead the development of advanced analytics, predictive models, and AI-driven insights that improve business performance and customer outcomes. This role will partner closely with teams across Product, Sales, Marketing, Customer Success, and Data teams to solve high-impact business problems using data science.
The ideal candidate brings a strong foundation in statistical modeling, machine learning, experimentation, and business analytics, combined with a practical understanding of key SaaS metrics such as ARR, NRR, churn, retention, expansion, pipeline conversion, customer health, and product adoption. This person must be able to move fluently between technical depth and business context, translating complex data into actionable recommendations that influence strategy and execution.
Key Responsibilities
  • Develop and deploy predictive and prescriptive models to solve critical business problems across the B2B SaaS lifecycle.
  • Build data science solutions for use cases such as customer churn prediction, upsell propensity, lead scoring, pipeline forecasting, product adoption, customer segmentation, pricing optimization, and customer health scoring.
  • Partner with Sales, Operations, Marketing, and Customer Success teams to identify opportunities where data science can improve growth, retention, and operational efficiency.
  • Design and analyze experiments, A/B tests, and quasi-experimental studies to measure the impact of product, marketing, and sales initiatives.
  • Apply statistical methods and machine learning techniques to large, complex datasets from CRM, product telemetry, marketing, support, finance, and customer systems.
  • Translate business questions into structured analytical approaches and communicate findings clearly to executive and cross-functional stakeholders.
  • Collaborate with data engineers, analytics engineers, BI teams, and architects to ensure scalable data pipelines and production-ready modeling workflows.
  • Monitor model performance, validate assumptions, and continuously improve model accuracy, explainability, and business relevance.
  • Support the development of self-service insights, reusable data science assets, and scalable frameworks for decision-making.
  • Document methodologies, assumptions, and business impact in a clear and reproducible manner.

Required Qualifications
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science,
Mathematics or a related quantitative field.
• 8+ years of experience in data science & machine learning, with significant
experience in B2B SaaS environments.
• Strong expertise in machine learning, statistical modeling, forecasting,
experimentation, and causal analysis.
• Strong proficiency in Python and advanced SQL skills.
• Experience working with large-scale business, sales, and product datasets,
including CRM, telemetry, subscription, and customer data.
• Deep understanding of B2B SaaS business models and core metrics such as ARR,
MRR, churn, retention, expansion, NRR, CAC, LTV, conversion, and product
usage/adoption.
• Hands-on experience with large language models (LLMs) and modern AI
frameworks such as OpenAI APIs, LangChain, LlamaIndex, Hugging Face, or similar
tools.
• Familiarity with RAG, prompt engineering, model evaluation, guardrails, and
responsible AI practices for enterprise-ready AI solutions.
• Experience with cloud data platforms such as Snowflake, Databricks, or BigQuery
• Experience in subscription analytics, revenue analytics, product-led growth, or
customer lifecycle modeling.
• Experience building models that support GTM, Product, or Customer Success
decision-making.
• Strong ability to communicate technical findings to non-technical audiences and
influence business decisions.
• Experience working cross-functionally in fast-paced, matrixed environments.
• Familiarity with GenAI or AI-enabled analytical workflows is a plus.
• Familiarity with BI and visualization tools such as Tableau, Power BI, or Looker
Core Skills
• Machine Learning
• Statistical Modeling
• Forecasting
• Experimentation and A/B Testing
• Customer Churn and Retention Analytics
• Product Adoption Analytics
• Revenue and Growth Analytics
• Segmentation and Propensity Modeling
• Python
• SQL
• Applied AI / Generative AI
• Large Language Models (LLMs) / Retrieval-Augmented Generation (RAG)
• Data Storytelling
• Cross-Functional Business Partnership
What Success Looks Like
Success in this role means delivering data science solutions that create measurable
business impact. This includes improving customer retention, accelerating growth,
increasing forecast accuracy, identifying high-value opportunities, and enabling smarter
decisions across the B2B SaaS customer lifecycle. The successful candidate will combine
strong technical rigor with business judgment and will help
Our commitment to you!
BMC's culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won't be known just by your employee number, but for your true authentic self. BMC lets you be YOU!
If after reading the above, You're unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!
BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.
BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.

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