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Quant Python Remote Jobs in Cincinnati, OH (NOW HIRING)

Remote EST/CST candidates will be considered Years of Experience: 3+ CONTRACT TO HIRE - MUST BE ... Strong proficiency in Python, SQL, and Git * Experience with Azure and Databricks, or comparable ...

Quant Python Remote information

See Cincinnati, OH salary details

$12

$56

$82

How much do quant python remote jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for quant python remote in Cincinnati, OH is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.89 per hour, depending on experience, location, and employer.

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 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 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 job categories do people searching Quant Python Remote jobs in Cincinnati, OH look for? The top searched job categories for Quant Python Remote jobs in Cincinnati, OH are:

Manager, Operations Analytics

DSV Global Transportation

Florence, KY • On-site, Remote

Other

Re-posted 16 days ago


Job description

DSV - Global transport and logistics
In 1976, ten independent hauliers joined forces and founded DSV in Denmark. Since then, DSV has evolved to become the world's 3rd largest supplier of global solutions within transport and logistics. Today, we add value to our customers' entire supply chain by transporting, storing, packaging, re-packaging, processing and clearing all types of goods. We work every day from our many offices in more than 80 countries to ensure a steady supply of goods to production lines, outlets, stores and consumers all over the world. Our reach is global yet our presence is local and close to our customers.  Read more at www.dsv.com 

Location: USA - Florence, 2505 Ted Bushelman Blvd. 

Division: Solutions 
Job Posting Title: Manager, Operations Analytics 
Time Type: Full Time

Travel: 15-20%

Location: Remote within Dallas, TX, Chicago, IL, Denver, CO

The Manager, Operations Analytics will be a key leader within the Operations team, generating tools, cadences, and insights that will guide our operational strategy, day-to-day-execution, and customer-facing solutions. This position will lead a team of business analysts while working closely with operations teams, customers, and various internal stakeholders to support the operational excellence and business growth. This position requires high judgment, excellent analytical abilities, and a creative mind to invent solutions to improve customer delivery experience; it also offers broad exposure to various business, financial, and technical teams across DSV.

 Essential Duties
  • Define, generate, and maintain standardized key performance indicators (KPIs), dashboards, analyses, etc. in support of various operational and functional teams, leveraging multiple data sources and visualization tools on an as-needed basis.
  • Lead, coach and develop a team of analysts / data professionals fostering a culture of accountability, collaboration and innovation while supporting operational functions
  • Identify trends and correlations to develop insights that can materially improve our operational decisions.
  • Collaborate and partner within team and across the organization to develop best practices for your function and advocate for improvements in enterprise-wide tools.
  • Drive performance against Operations Analytics team objectives and KPIs
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
  • Assess and document existing business procedures. Develop recommendations for new methods / procedures, implementation plans, schedules and written reports for management to evaluate.
  • Support commercial activities by preparing qualitative and quantitative business cases, showcasing DSV's performance and value creation across solutions-offerings.
  • Work closely with business leaders and clients to analyze and document client requirements and develop and implement best practice, consistent, standardized IT Solutions.
Leadership & Stakeholder Management
  • Champion a strong team culture focused on inclusion, engagement and continuous learning
  • Provide ongoing feedback, performance management and developmental opportunities to team members
  • Partner effectively with local and central stakeholders, both internal and external
  • Work with, and through Operations, People & Organization (P&O), and other stakeholders to drive actions supporting business objectives.
  • Develop client relationship-management skills via involvement in implementation support, AQP meetings, Deep Dives, Business Reviews, etc.
  • Facilitate key business cadences and own the design, maintenance, and continual improvement of related materials
  • Drive tactical execution and continuous improvement while also providing executive-level insights and updates, inclusive of continuous improvement target-identification, task status updates and impacts, operational performance levels, and proactive risk identification
QualificationsRequired
  • 5+ years of experience in supply chain analytics, data analysis, business intelligence, or a closely related field, ideally within a multi-site or large-scale operations environment
  • Strong knowledge of operational systems (WMS, TMS, etc.), tools, and data
  • Experience owning and managing KPIs, financial performance
  • Working understanding of supply chain or logistics processes and the data structures that support them
  • Ability to translate complex datasets into clear, user-friendly visuals that drive decision-making.
  • Advanced MS Word, Excel, PowerPoint & Outlook, Power BI and/or Tableau
  • Ability to build and publish functional dashboards independently
Preferred
  • Experience with large enterprise customers
  • Proficiency in SQL for data extraction and transformation - strongly preferred.
  • Familiarity with at least one scripting or programming language (e.g. Python, R, DAX, or M) is strongly preferred.
  • Lean / Six Sigma certification

Travel: Occasional travel across the distribution network (10-20%)

For this position, the expected base pay range is $113,000.00 - $141,000.00 . Actual compensation will be determined based on job-related factors such as relevant experience, skills, education, certifications, and geographic location, in accordance with applicable laws and company policy.

Information regarding DSV's benefits offerings, including eligibility, coverage options, and plan details, is available through the DSV Benefits Showcase. Benefits, programs, and eligibility may vary by location and division in accordance with applicable state and local laws.

DSV is an equal employment opportunity employer. Candidates are considered for employment without regard to race, creed, color, national origin, age, sex, religion, ancestry, disability, veteran status, marital status, gender identity, sexual orientation, national origin, or any other characteristic protected by applicable federal, state or local law. If you require special assistance or accommodation while seeking employment with DSV, please contact Human Resources at hr@us.dsv.com. If you are interested in learning the status of your application, please note you will be contacted directly by the appropriate human resources contact person if you are selected for further consideration. DSV reserves the right to defer or close a vacancy at any time.

DSV - Global transport and logistics

Working at DSV means playing in a different league.

As a global leader in transport and logistics, we have been on an extraordinary journey of growth. Let's grow together as we continue to innovate, digitalise and build on our achievements.

With close to 150,000 colleagues in over 90 countries, we work every day to offer solid services and meet our customers' needs and help them achieve their goals. We know that the best way to achieve this is by bringing in new talent, fresh perspectives and ambitious individuals like you. 

At DSV, performance is in our DNA. We don't just work - we aim to shape the future of logistics. This ambition fuels a dynamic environment built on collaboration with world-class team players, accountability and action. We value inclusivity, embrace different cultures and respect the dignity and rights of every individual. If you want to make an impact, be trusted by customers and grow your career in a forward-thinking company - this is the place to be.

Start here. Go anywhere

Visit dsv.com and follow us on LinkedIn and Facebook.