Remote - we're flexible on location, but we do need GMT+0 to GMT+4 of overlap with UK team ... Communicate technical decisions, limitations and trade-offs clearly to technical and non-technical ...
Remote - we're flexible on location, but we do need GMT+0 to GMT+4 of overlap with UK team ... Communicate technical decisions, limitations and trade-offs clearly to technical and non-technical ...
Senior Scientist
Dayton, OH · Remote
$88K - $121K/yr
Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
Senior Scientist
Dayton, OH · Remote
$88K - $121K/yr
Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
Senior Scientist
Dayton, OH · On-site +1
$88K - $121K/yr
Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
Quick apply
Senior Scientist
Dayton, OH · On-site +1
$88K - $121K/yr
Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and ... Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
Support security selection and trade design through fair-value, relative-value, scenario, and ... Proficiency in Python and/or R for data analysis, modeling, back testing, and scenario work ...
Support security selection and trade design through fair-value, relative-value, scenario, and ... Proficiency in Python and/or R for data analysis, modeling, back testing, and scenario work ...
Support security selection and trade design through fair-value, relative-value, scenario, and ... Proficiency in Python and/or R for data analysis, modeling, back testing, and scenario work ...
Support security selection and trade design through fair-value, relative-value, scenario, and ... Proficiency in Python and/or R for data analysis, modeling, back testing, and scenario work ...
Platform Engineer II - AWS, Kubernetes & Golang
Cincinnati, OH · On-site +1
$91K - $138K/yr
This position is not eligible for remote work. Ready to take your career global? Make your mark at ... Knowledge of security aspects of financial trading/monetary transfer systems; including but not ...
Platform Engineer II - AWS, Kubernetes & Golang
Cincinnati, OH · On-site +1
$91K - $138K/yr
This position is not eligible for remote work. Ready to take your career global? Make your mark at ... Knowledge of security aspects of financial trading/monetary transfer systems; including but not ...
... trade studies, develop mission/sensorlevel models, validate simulation outputs, integrate digital ... We offer a hybrid remote work environment for most positions and hourly pay for all positions ...
... trade studies, develop mission/sensorlevel models, validate simulation outputs, integrate digital ... We offer a hybrid remote work environment for most positions and hourly pay for all positions ...
Remote Python Trading information
What is remote python trading?
A Remote Python Trading job involves developing, maintaining, and optimizing trading algorithms or systems using the Python programming language, all while working remotely. Professionals in this role typically work for financial institutions, hedge funds, or fintech companies, analyzing market data, building automated trading strategies, and ensuring their code runs efficiently and securely. Strong programming skills in Python, knowledge of financial markets, and experience with trading platforms or APIs are essential. The remote nature of the job allows professionals to work from anywhere with a reliable internet connection.
What is the difference between Remote Python Trading vs Remote Quantitative Analyst?
| Aspect | Remote Python Trading | Remote Quantitative Analyst |
|---|---|---|
| Required Credentials | Python programming, finance knowledge, data analysis skills | Mathematics, statistics, programming, finance or economics degree |
| Work Environment | Financial firms, hedge funds, trading companies | Financial institutions, investment firms, research organizations |
| Industry Usage | High in trading and algorithm development | High in risk modeling and quantitative research |
| Common Search/Comparison | Yes | Yes |
Remote Python Trading focuses on developing trading algorithms using Python, primarily in trading firms. Remote Quantitative Analysts work on financial modeling and risk analysis, often requiring similar skills but with a broader focus on quantitative research. Both roles involve programming and finance, but their core responsibilities differ in application and industry emphasis.
What are the key skills and qualifications needed to thrive as a remote python trading professional?
To thrive as a Remote Python Trading professional, you need strong proficiency in Python programming, quantitative analysis, and a solid understanding of financial markets, often supported by a relevant degree in finance, mathematics, or computer science. Experience with trading platforms, APIs, backtesting frameworks, and familiarity with libraries like pandas, NumPy, and scikit-learn are typically required. Analytical thinking, problem-solving, and effective remote communication are essential soft skills for success in this role. These skills enable the development of robust trading algorithms, effective risk management, and seamless collaboration in a distributed work environment.
What are some common challenges faced by remote python trading developers, and how can they be addressed?
Remote Python trading developers often encounter challenges such as managing effective communication with distributed teams, ensuring code reliability in automated trading systems, and keeping up with rapidly evolving market requirements. To address these, it’s important to establish clear communication channels (such as daily stand-ups or regular check-ins), write well-documented and thoroughly tested code, and stay updated on current trading technologies and market regulations. Additionally, leveraging collaborative tools like version control systems and implementing robust monitoring for trading algorithms helps ensure both team alignment and system stability.
What are popular job titles related to Remote Python Trading jobs in Ohio? For Remote Python Trading jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Python Trading jobs in Ohio look for? The top searched job categories for Remote Python Trading jobs in Ohio are:
What cities in Ohio are hiring for Remote Python Trading jobs? Cities in Ohio with the most Remote Python Trading job openings:
Full-time
Posted 12 days ago
Job description
Remote - we're flexible on location, but we do need GMT+0 to GMT+4 of overlap with UK team.
Zencargo is looking for a Forward-Deployed Engineer to work at the intersection of engineering, product and operations. This role is focused on solving real operational and customer problems quickly. You will work directly with users to understand how freight processes operate today, identify where software and AI can remove manual work, and build working solutions that deliver measurable outcomes.
Zencargo is looking for a Forward-Deployed Engineer to work at the intersection of engineering, product and operations. This role is focused on solving real operational and customer problems quickly. You will work directly with users to understand how freight processes operate today, identify where software and AI can remove manual work, and build working solutions that deliver measurable outcomes.
This is a role with genuine breadth and ownership. You will help uncover the real problem, shape the solution, build it, ship it and learn from how it performs. Often you will find yourself in a spreadsheet, turning a manual workflow into an automated one. Our aim is for repeatable decisions to run fully automatically, and the way we get there is deliberate: we start by escalating the tricky cases to a person, then learn from how they resolve them so that AI can take on increasingly complex escalations over time.
This is a hands-on role that rewards a strong product brain as much as strong engineering. You will work closely with senior stakeholders across the business, supported by our Data and Infrastructure teams on your builds. Your work flows horizontally too: you will work with Product and Engineering to turn the reusable parts of what you build into scalable platform capabilities that other teams pick up and benefit from.
- Embed with operations teams and internal stakeholders, typically for a few months at a time, to understand complex freight and supply-chain workflows.
- Translate loosely defined business problems into clear technical solutions, deciding when to extend existing functionality and when to build new.
- Turn manual, spreadsheet and inbox-based decisions into platform logic that can be automated and, over time, increasingly handled by AI.
- Build and deploy prototypes, automations and production-ready features, integrating with internal Zencargo services, carrier platforms and third-party APIs.
- Use AI and modern development tools both to accelerate delivery and as a core part of the solutions you build.
- Work with structured and unstructured data, including emails, documents, purchase orders, shipment data and operational events.
- Test and measure solutions against real workflows and user feedback, looking for reduced manual effort, better accuracy, faster processing and a smoother-running business.
- Identify patterns across problems and help convert them into reusable platform functionality.
- Collaborate closely with Product, Design and core Engineering, and with our Data and Infrastructure teams who will support your builds, while retaining ownership of delivery.
- Communicate technical decisions, limitations and trade-offs clearly to technical and non-technical stakeholders, up to executive level.
- Maintain appropriate standards for security, reliability, data protection and maintainability, and support solutions through implementation and early adoptions
Success in this role will be measured by the outcomes delivered, including:
- Reduced time and manual effort in operational workflows, and improved speed, accuracy, cost or service quality across the business.
- Faster movement from an identified problem to a working production solution.
- Adoption and effective use of the solutions delivered.
- Reliability, security and maintainability of deployed solutions.
- The number of repeated problems converted into reusable platform capabilities.
- Strong professional software engineering experience across the full lifecycle, comfortable taking a problem from discovery through to independently building, deploying and running it in production.
- Strong skills in at least one modern programming language, such as TypeScript, JavaScript, Python, Java, Kotlin or C#. Some familiarity with Kotlin or Python, our primary languages, is valued but not essential.
- Experience building and consuming APIs, webhooks and system integrations.
- Experience working with databases, data models and event-driven workflows.
- Fluent use of AI-assisted development tools as a core part of how you build. This is essential to the role.
- Strong product judgement: understands unfamiliar business processes quickly, embeds with a team to distil what matters, and separates the immediate user request from the underlying problem.
- Comfortable working with ambiguity and making sensible decisions without waiting for perfect requirements, with a bias toward action, experimentation and iterative delivery.
- Confidence working directly with operational users and senior stakeholders, collaborating across Product, Design, Engineering and our Data and Infrastructure teams, and explaining technical concepts in clear, practical language.
- Strong ownership, including responsibility for whether the solution achieves the intended outcome rather than only whether the code was delivered.
- Good understanding of software quality, observability, testing, security and maintainable architecture.
- Experience in freight, logistics or supply chain, or in another B2B SaaS or operational technology environment.
- Experience building workflow automation or orchestration, for example with tools such as n8n.
- Experience with large language model applications and unstructured-data problems such as document extraction or email classification.
- Experience integrating with ERP, transport-management, warehouse-management or internal operational systems.
- Experience in a solutions engineering, implementation, internal-tools or forward-deployed role, including taking bespoke solutions and turning them into product.
- Familiarity with cloud infrastructure, Terraform, CI/CD and production support, ideally in an early-stage or high-growth environment