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Vetted Quantitative Trading developer in Ukraine (UTC+2)
I am a data scientist and data engineer with broad experience in the entire data value chain. I take best practices in software engineering very seriously and strive to write clean and easy to read and maintain code. My main interest and recent experience is in finance, but I'm ready to explore other industries where I can use and develop the skills and tools necessary to learn from data effectively.
Vetted Quantitative Trading developer in Switzerland (UTC+1)
I have been passionate about software engineering and computer sciences since I was a kid. I now have more than **12 years** of experience working with a variety of different languages and technologies. I mostly work in startup environnements, which are more stressful, but can be more interesting and dynamic. I have worked in a crypto fintech startups in Switzerland (Bity, TrueLevel), programming their bank linking systems. I also worked with low-level code in **C** and **C++**, creating a driver for a banknote acceptor and making a **Python** wrapper. I am highly interested in automated trading and finance, as well as economics. I built multiple automated trading algorithms using **C#** on the **cTrader cBot** framework & platform. I built hybrid trading systems with **PineScript** (**TradingView**) and linked it to a **Node.JS** back-end **API** using webhook signals from TradingView, that would send the filtered market buy and sell signals to my Telegram with the **Telegram API** messenger along with the embeeded chart and indicators image, immediate action buttons for me to execute the proposed trade on my trading platform using the broker's API ! I backtested, forward-tested and optimized trading algorithms using **Python** and **cTrader** mainly. I ran many experiments on 16+ years market data to try to prove (or disprove) concepts that could reveal useful for discovering alphas, mainly using **Python** and **cTrader cBot**, also **MT4/MT5**. I built a Python tool with the **cTrader REST API** to automatically connect to my broker's portfolio and show the portfolio balance based on the different positions on **Forex assets**, as an quick and easy way to see if the Portfolio needs a hedge or rebalance. I create many side projects, including an ergonomic keyboard (with 16 keys only !), where I developed the complete **electric schematics and circuit boards**, made prototypes using **3D printers** and soldered components, and finally wrote the drivers and software using **C** to get an appreciable human machine interface. I have a lot of experience working with the fullstack, and as I am working on a large amounts of projects by myself, and one notable example is the app "Smarturn" that I created using **Flutter**, **Flask** and **OpenCV** for the back-end, including a proprietary algorithm for mechanical production cycle calculation. This app was using a custom canvas with design features on Flutter, that was layered on top of a camera image, which was then sent to the back-end for image processing. This app is used for calculating the cycle speed of CNC machines by taking a picture of a technical drawing automatically ! I have led and worked with international teams of developers, and being a passionate entrepreneur and developer myself, my goal is to understand the product from the founders/leader and get from their idea to execution as smoothly as possible. I appreciate actively participating in the creation and improvement of the product to feel proud of my work. I am looking to continually expand my soft and hard skills, that is why I constantly attend new courses, not only in computer sciences but also statistics, math, finance, economics, languages and more ! Thank you for reading my executive summary.
Quantitative Trading developer in Canada (UTC-7)
I am a data scientist with over four years of experience in quantitative analysis and predictive modeling, alongside eight years in software development. At 7Cheetahs, I developed data-driven solutions that enhanced decision-making in financial markets. I thrive in dynamic environments where I can solve complex problems. I’m particularly interested in opportunities that blend data science with product development.
Quantitative Trading developer in the United Kingdom
A highly skilled engineer and data scientist with a robust background in AI, evidenced by successful product buildouts at both large organizations as well as dynamic startups. My experience spans significant roles at leading financial and technology firms, where I utilized advanced data science techniques to drive innovations and strategic growth, particularly in the realms of quantitative trading and risk management. My expertise is in applying advanced AI and Machine Learning algorithms to existing products to solve real-world problems effectively, or to new products to enable a strong go to market.
Quantitative Trading developer in Australia (UTC+10)
· Director FX option and commodity desk quants at the Tier 1 Australian Bank · Fintech instructor (part-time) at the University of Sydney, teaching Financial programming with Python, Machine Learning, Blockchain and Cryptocurrency · Proficient with trading strategy, backtesting and quant development experience in C++ and Python · Familiar with Machine Learning, Deep Learning, Scikit-learn, TensorFlow, Keras and Time Series Analysis · Experienced programming in C++, Python and C#; familiar with Git and Linux
Quantitative Trading developer in Switzerland (UTC+1)
I like helping others and have been praised many times over the years for my ability to explain complex topics in an understandable way.
Quantitative Trading developer in Morocco (UTC+1)
As a Python Developer with significant financial sector experience, I aim to leverage my backend development and automation skills to advance digital transformation and enhance operational efficiency.
Vetted Quantitative Trading developer in Canada (UTC-5)
Experienced software architect and developer with over a decade of expertise in building cloud-based applications. I specialize in web development, creating scalable, high-performance solutions, and have extensive experience in machine learning, including developing predictive models and integrating AI features to enhance applications. Proficient across the full software development lifecycle, I excel at understanding complex codebases, addressing bugs, refactoring for performance, and implementing new features to meet evolving requirements. Committed to Object-Oriented Programming principles and design patterns, I ensure code is clean, maintainable, and scalable. I focus on delivering well-tested, reliable solutions that support long-term success. My expertise in machine learning enables data-driven decision-making, while my .NET skills meet demanding technical requirements. I thrive in collaborative environments, valuing open communication and innovative problem-solving. Driven by a passion for technical excellence, I consistently deliver solutions that align with user needs and business goals.
Vetted Quantitative Trading developer in Singapore (UTC+8)
18+ yrs. of IT exp. developing & maintaining complex distributed systems; 4+ yrs. of technical leadership exp. managing diverse team & driving multiple large- scale projects. Currently working as Senior Technology consultant in an exchange in FX domain
Vetted Quantitative Trading developer in the United States (UTC-5)
I have extensive experience in software engineering, quantitative development, financial engineering, and research analysis. My education includes a Ph.D. in Mathematical Economics/Econometrics and various publications in computational statistics. Data Scientist / Data Engineer / Principal Software Engineer / Quantitative Research and Trading Professional (Delta One / Futures) / Teacher / Communicator / Mentor. (Adjunct) Clinical Professor of Statistics at the University of Illinois Urbana-Champaign. Open Source Contributor and Debian Developer. Expert R and C++ Developer and Package Author (Rcpp, Rocker, ...). R Foundation Board Member. Ph.D. in Financial Econometrics from EHESS - Ecole des Hautes Etudes en Sciences Soiciales.
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Get startedIn today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Quantitative Trading developer, multiple developers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Quantitative Trading developers can help keep your website up-to-date.
To hire a Quantitative Trading developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Quantitative Trading developers effectively and efficiently. Hire full-time Quantitative Trading developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Quantitative Trading engineers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Quantitative Trading developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Quantitative Trading developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Quantitative Trading programmers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Quantitative Trading developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Quantitative Trading developers, consider niche platforms like Arc that naturally attract and carefully vet their Quantitative Trading developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Quantitative Trading developer candidates.
Some factors to consider when you hire Quantitative Trading developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Quantitative Trading developers for hire.
Writing a good Quantitative Trading developer job description is crucial in helping you hire Quantitative Trading programmers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Quantitative Trading developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Quantitative Trading programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Quantitative Trading developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Quantitative Trading developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Quantitative Trading developers to keep up with evolving technology and requirements.
You can find a variety of Quantitative Trading developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Quantitative Trading programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Quantitative Trading developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Quantitative Trading developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Quantitative Trading developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Quantitative Trading developers.
Every Quantitative Trading developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in Quantitative Trading and breadth across the greater domain). Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Quantitative Trading engineer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Quantitative Trading developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Quantitative Trading developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Quantitative Trading developers, you can rest assured that all remote Quantitative Trading developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Quantitative Trading developers before we present them to you. As such, all the remote Quantitative Trading developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Quantitative Trading programmer in 72 hours, or find a full-time Quantitative Trading programmer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Quantitative Trading developers.
Depending on the freelance developer job board you use, freelance remote Quantitative Trading developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Quantitative Trading developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Quantitative Trading developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Quantitative Trading developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Quantitative Trading developers, check out our FAQs page.