2

Quant Python Remote Jobs in Avon, IN (NOW HIRING)

Utilizing Python, SQL, and NLP/machine learning technologies to perform conversational analytics ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Strong programming ability in a language such as Python * Comfort working in UNIX-based ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Strong Python programming skills and experience with common data and ML libraries such as numpy ...

Quant Python Remote information

See Avon, IN salary details

$12

$56

$82

How much do quant python remote jobs pay per hour?

As of May 29, 2026, the average hourly pay for quant python remote in Avon, IN is $56.22, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.85 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 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 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.

Infographic showing various Quant Python Remote job openings in Avon, IN as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $116,938 per year, or $56.2 per hour.
Director of Data Analytics

Director of Data Analytics

Indiana Wesleyan University

Indianapolis, IN • On-site, Remote

Full-time

Posted 15 days ago


Indiana Wesleyan University rating

8.6

Company rating: 8.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

49th of 529 rated colleges and universities


Job description

Director of Data Analytics
Job no: 495051
Work type: Administrative (Full Time)
Location: Indianapolis, IN, Marion, IN, Hybrid (2 Office / 3 Remote), Remote (within United States), Other
Categories: Administrative/Professional
Job Title: Director of Data Analytics
Reporting Relationship: VP of Learner Success
Unit: National & Global
Department: Dept. of Learner Success-National & Global
Campus Location: Hybrid Schedule (1 day / month Onsite either at Indianapolis Ed Center or Marion, IN campus; the remaining time fully remote).
Summary of Position: The Director of Data Analytics serves as the Strategic Lead for data-driven retention interventions and intervention science within National & Global. Reporting directly to the Vice President of Learner Success, this individual contributor role is responsible for transforming complex student data from the institutional data lake into validated, causal insights that directly improve persistence and completion outcomes for adult online learners.
This position is distinguished by its focus on establishing causality in retention research. The Director applies advanced statistical approaches to move the division from descriptive dashboards to prescriptive, evidence-based action, functioning as the lead practitioner for "Actionable Analytics."
Duties and Responsibilities
  • Intervention Science and Causal Modeling
    • Leads the application of "gold standard" statistical methodologies to establish the causal efficacy of retention interventions
    • Designs and executes quasi-experimental studies using Propensity Score Matching (PSM) to simulate randomized control trials
    • Employs Survival Analysis (time-to-event modeling) to identify critical "danger zones" within the academic term where students are most likely to disengage
    • Utilizes Multi-level Modeling (MLM) to distinguish between student-level factors and systemic programmatic issues
    • Applies Structural Equation Modeling (SEM) to map relationships between latent psychosocial variables and observed outcomes like GPA and course completion
  • Student Success Intelligence Brief Publication
    • Serves as the primary author and strategist for the "Student Success Intelligence Brief," published every six weeks
    • Translates complex statistical findings into clear, actionable steps for faculty and leadership across the DeVoe School of Business, the School of Education, and the School of Service and Leadership
    • Provides high-level, program-segmented analysis of retention trends and provides "Go/No-Go" recommendations for scaling pilot initiatives
  • Psychosocial Metric Development and Validation
    • Operationalizes the integration of non-cognitive measures (Sense of Belonging, Academic Self-Efficacy, Help-Seeking Orientation) into the institutional data model
    • Develops and validates proprietary predictive scales that combine traditional academic indicators with psychosocial factors
    • Ensures that psychosocial triggers are embedded into CRM case records to enable targeted resource referrals by advisors
  • Data Integration and CRM/AI Collaboration
    • Serves as the primary functional liaison to IT and Salesforce teams to access and integrate data from the institutional data lake
    • Defines data requirements and validates data quality for the "Student Insights Agent" and other Agentic AI workflows
    • Ensures that early alert thresholds and "Next Best Action" prompts in Salesforce are grounded in empirically validated retention science rather than arbitrary rules
  • External Benchmarking and Thought Leadership
    • Benchmarks institutional retention outcomes against national standards for online adult learners (IPEDS, National Student Clearinghouse)
    • Represents the institution at national conferences (e.g., EDUCAUSE, AIR) to contribute to the scholarly conversation on student success science

Qualifications: According to Indiana Wesleyan University employment policy all employees must possess a strong Christian commitment and adhere to the standards outlined in the IWU Community Lifestyle Statement.
Education
  • Required: Master's degree in Data Science, Business Analytics, Statistics, Quantitative Psychology, or a related quantitative field
  • Preferred: Doctoral student (ABD - All But Dissertation) with a focus on causal inference, higher education research, or intervention science

Experience
  • Five or more (5+) years of progressive experience in data science, institutional research, or student success analytics
  • Proven track record of establishing causal relationships in educational or behavioral research
  • Experience working with adult learner populations in online or distance learning environments
  • Experience with CRM platforms (Salesforce Education Cloud strongly preferred)

Required Skills
  • Expert-level proficiency in PSM, Survival Analysis, MLM, and SEM
  • Advanced programming skills in R or Python for data manipulation and modeling
  • Proficiency in SQL and experience querying large, complex educational databases/data lakes
  • Strong ability to translate complex data into "Intelligence Briefs" for non-technical executive audiences

IWU Kingdom Diversity Statement
IWU, in covenant with God's reconciling work and in accordance with the Biblical principles of our historic Wesleyan tradition, commits to build a community that reflects Kingdom diversity. We will foster an intentional environment for living, teaching and learning, which exhibits honor, respect, and dignity. Acknowledging visible or invisible differences, our community authentically values each member's earthly and eternal worth. We refute ignorance and isolation and embrace deliberate and courageous engagement that exhibits Christ's commandment to love all humankind.
LIMITATIONS AND DISCLAIMER
As a religious educational institution operating under the auspices of The Wesleyan Church, Indiana Wesleyan University is permitted and reserves the right to prefer employees on the basis of religion (42 U.S.C., Sections 2000e-1 and 2000e-2).
The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. Employees will be required to follow other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and State Laws.
Advertised: 15 May 2026 US Eastern Daylight Time
Applications close: 21 Jun 2026 US Eastern Daylight Time
Whatsapp Facebook LinkedIn Email App

What Indiana Wesleyan University employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom