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Quant Python Remote Jobs in Derby, 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.

ggi

Commercial Analytics Senior Manager

Brookfield, CT · Remote

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... related quantitative discipline. * Proficient in Python or R and SQL, with experience across ...

ggi

Commercial Analytics Senior Manager

Brookfield, CT · Remote

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... related quantitative discipline. * Proficient in Python or R and SQL, with experience across ...

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

Quant Python Remote information

See Derby, CT salary details

$13

$58

$86

How much do quant python remote jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for quant python remote in Derby, CT is $58.80, according to ZipRecruiter salary data. Most workers in this role earn between $48.46 and $66.78 per hour, depending on experience, location, and employer.

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

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 is a Quant Python Remote job?

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 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 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 cities near Derby, CT are hiring for Quant Python Remote jobs? Cities near Derby, CT with the most Quant Python Remote job openings:
Quant Python Remote jobs near you
Data Scientist Manager - Remote

Data Scientist Manager - Remote

Penfield Search Partners

Fairfield, CT • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Position Summary We are seeking a strategic and analytically driven professional to support Medical Affairs through advanced analytics, insight generation, and data-informed decision making. This individual will play a key role in transforming complex data into actionable business insights that support launch readiness, engagement strategy, and overall Medical Affairs effectiveness. The ideal candidate combines strong analytical and technical expertise with the ability to communicate findings in a compelling and impactful way to cross-functional stakeholders

Key Responsibilities Insights Analysis Analyze insights collected across Medical Affairs data sources to identify trends, patterns, and stakeholder sentiment. Synthesize findings into actionable recommendations that support strategic decision-making across cross-functional teams. Deliver clear and concise reporting to support business objectives and organizational priorities.

Strategic Storytelling & Communication Present insights, business impact, and strategic recommendations in a compelling, story-driven format to key stakeholders and leadership teams. Translate complex analytical findings into meaningful business narratives that influence decision-making. Data-Informed Strategy & Analytics Support Medical Affairs teams with data, tools, and analytical models that inform prioritization, planning, and engagement strategy.

Conduct ad hoc analyses to support launch preparation, strategic planning, channel engagement optimization, and Medical Expert (ME) identification and segmentation. Contribute to initiatives that enable successful product launches and ongoing business performance optimization. Metrics & Impact Tracking Track, measure, and report Medical Affairs metrics and performance against established targets.

Develop and define innovative approaches for measuring impact and business value. Identify trends and performance gaps requiring strategic course correction or optimization. Cross-Functional Collaboration Partner closely with Medical Affairs stakeholders to understand business needs and develop analytical capabilities that support organizational goals.

Collaborate with IT and other cross-functional teams on infrastructure, systems, tools, models, and reporting capabilities. Requirements Gathering & Process Support Work closely with IT teams to translate business requirements into clear, concise user stories and technical requirements. Support the development and enhancement of scalable analytics solutions and processes.

Dashboard Development & Reporting Partner with IT and technical teams to develop automated, real-time dashboards integrating multiple data sources to support insight generation and impact assessment. Ensure reporting tools provide meaningful, user-friendly visibility into Medical Affairs performance metrics. Therapeutic Area & Market Knowledge Develop and maintain expertise in relevant therapeutic areas, including respiratory disease states, as well as knowledge of Insmed and competitor products to support accurate interpretation of data and market insights.

Launch Planning Support Provide analytics, insights, and strategic support related to product launch planning and execution. Qualifications Bachelor's or Master's degree in Data Science, Analytics, Business Analytics, Statistics, Computer Science, or a related quantitative field required. Advanced degree preferred (MBA, MS, PhD), or Life Sciences qualification (e.g., PharmD) combined with strong analytics and data experience

Experience supporting Medical Affairs analytics, insights generation, and launch-related initiatives within the pharmaceutical or biotechnology industry preferred. Strong experience with SQL, Qlik, Snowflake, Python, and advanced Excel required. Experience developing dashboards, reporting solutions, and analytical models using multiple data sources.

Strong business acumen with the ability to communicate analytical findings to both technical and non-technical audiences. Proven ability to work collaboratively across cross-functional teams in a fast-paced environment. Excellent presentation, communication, and storytelling skills with the ability to influence stakeholders and drive strategic discussions.

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