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786 top Quantitative Risk Modeling developers available to hire:

Heriberto B., Quantitative Risk Modeling freelance coder
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Heriberto B.

Vetted Quantitative Risk Modeling developer in Canada (UTC-4)

I am a Data Scientist with 6+ years of experience in AI/ML model development for various sectors. Skilled in statistical analysis, Python programming, and effective communication with stakeholders.

Loan V., Quantitative Risk Modeling developer for hire
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Loan V.

Vetted Quantitative Risk Modeling 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.

Rishav S., freelance Quantitative Risk Modeling programmer
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Rishav S.

Vetted Quantitative Risk Modeling developer in India (UTC+6)

Data Scientist with 3+ Years of experience. Have worked in multiple domain such as Fintech,Insurance,CPG and Banking. Built Multiple Ai products from scratch which is serving millions of users. Tech Skills in: Python,SQL,Tensorflow,LLM,NLP,Computer Vision and various MLOps tools such as Aws Lambda, Kafka,Kubernetes,Spark and other Aws services. Experienced in data analysis statistic

Jorn M., Quantitative Risk Modeling developer for hire
Jorn M.

Quantitative Risk Modeling developer in the United States (UTC-4)

I hold PhD in Physics. Worked as a quant/data scientist for 10 years on wall st (ex-Goldman Sachs). Currently working in the energy space. Experienced in a wide range of machine learning applications (expert in time series analysis).

Noah P., Quantitative Risk Modeling developer for hire
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Noah P.

Vetted Quantitative Risk Modeling developer in the United States (UTC-8)

Data Engineer experienced in building data pipelines, machine learning models, and infrastructure-as-code. Skilled in bridging business and engineering perspectives to scale up enterprise analytics. Passionate about building reliable data architectures that users depend on.

Hitesh ., freelance Quantitative Risk Modeling developer
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Hitesh .

Vetted Quantitative Risk Modeling developer in the United States (UTC-7)

I am very passionate about data analytics. I enjoy working on massive data points to understand the story and create insights to help the organization make strategic decisions. I currently work with a media company where I lead the data, reporting, and insights aspect for the advertising business. My roles requires me to work with teams from technical as well as business side. I always enjoy working on complex problems and breaking it down to simple steps to make it easier to achieve.

Aleksandar P., top Quantitative Risk Modeling developer
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Aleksandar P.

Vetted Quantitative Risk Modeling developer in Serbia (UTC+1)

Highly experienced Data Scientist with a proven success in building and implementing machine learning algorithms and predictive models in the various industries. Highly skilled in R, Python, SQL, Spark, Dask, SAS, Power BI, Git, Docker, GCP and Azure ML.

Dinko V., freelance Quantitative Risk Modeling developer
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Dinko V.

Vetted Quantitative Risk Modeling 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.

Douglas S., Quantitative Risk Modeling freelance developer
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Douglas S.

Vetted Quantitative Risk Modeling developer in Brazil (UTC-3)

### **Experienced Web Developer and Frontend Engineer with more than 10 years of experience developing small and large applications, scaling, securing, rebuilding and optimizing APIs, maintaining applications with hundreds of thousands users daily and working with startups on financial, trading, e-sports, e-commerces and AI tools.** **Age:** 29yo | **Timezone:** UTC-3 I'm a self-taught coder and digital entrepreneur, I've had a journey driven by curiosity and strong passion for building cool things and solving problems. From tinkering with online games as a kid to leading successful startups, my path highlights my thirst for learning and adapting. I'm ambitious, always up for a challenge, and love learning new things. Even though I didn't formally study IT, I read a lot of books and took online courses to stay sharp. I'm confident that I can learn anything. I've worked with all kinds of companies, big and small, and even in e-sports industry. My adaptability and ability to get things done, lead teams and adding value to product have been my strengths. The team and coworkers are very important to me. I'm lucky enough to have worked with high-performance teams, so I learned to motivate and help the team to beat and surpass our goals. _**My journey is about curiosity and always learning. I've been part of projects that mattered, from startups that didn't make it to ones that really thrived. Now, I'm excited about the next adventure where I can bring my skills and experience to make a positive impact on companies and their customers.**_

Gourab B., freelance Quantitative Risk Modeling programmer
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Gourab B.

Vetted Quantitative Risk Modeling developer in India (UTC-8)

Hi, I am a seasoned Machine Learning Engineer and Data Science Researcher. I specialize in analytics, natural language processing, and machine learning, with over 5 years of professional experience. Proficient in utilizing Python, R, and relevant tools, I conduct advanced predictive modeling and uncover insightful trends, patterns, and correlations within datasets, enabling data-driven decision making processes. Check out my Portfolio at: https://bagchigourab.github.io

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FAQs

Why hire a Quantitative Risk Modeling developer?

In 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 Risk Modeling 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 Risk Modeling developers can help keep your website up-to-date.

How do I hire Quantitative Risk Modeling developers?

To hire a Quantitative Risk Modeling 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 Risk Modeling developers effectively and efficiently. Hire full-time Quantitative Risk Modeling 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 Risk Modeling 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 Risk Modeling 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 Risk Modeling developer for your company, and let Arc handle the logistics.

Where do I hire the best remote Quantitative Risk Modeling developers?

There are two types of platforms you can hire Quantitative Risk Modeling 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 Risk Modeling 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 Risk Modeling developers, consider niche platforms like Arc that naturally attract and carefully vet their Quantitative Risk Modeling developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Quantitative Risk Modeling developer candidates.

Some factors to consider when you hire Quantitative Risk Modeling 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 Risk Modeling developers for hire.

How do I write a Quantitative Risk Modeling developer job description?

Writing a good Quantitative Risk Modeling developer job description is crucial in helping you hire Quantitative Risk Modeling 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 Risk Modeling 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 Risk Modeling programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Quantitative Risk Modeling engineer?

The top five technical skills Quantitative Risk Modeling 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 Risk Modeling 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 Risk Modeling developers to keep up with evolving technology and requirements.

What kinds of Quantitative Risk Modeling programmers are available for hire through Arc?

You can find a variety of Quantitative Risk Modeling 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 Risk Modeling programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Quantitative Risk Modeling 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 Risk Modeling developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Quantitative Risk Modeling developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Quantitative Risk Modeling 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 Risk Modeling developers.

Every Quantitative Risk Modeling 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 Risk Modeling 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 Risk Modeling 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.

How does Arc vet a developer’s Quantitative Risk Modeling skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Quantitative Risk Modeling 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 Risk Modeling 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 Risk Modeling developers, you can rest assured that all remote Quantitative Risk Modeling developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Quantitative Risk Modeling developers on Arc?

Arc pre-screens all of our remote Quantitative Risk Modeling developers before we present them to you. As such, all the remote Quantitative Risk Modeling 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 Risk Modeling programmer in 72 hours, or find a full-time Quantitative Risk Modeling 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 Risk Modeling developers.

How much does a freelance Quantitative Risk Modeling developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Quantitative Risk Modeling developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Quantitative Risk Modeling 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 Risk Modeling 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.

How much does it cost to hire a full time Quantitative Risk Modeling developer?

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 Risk Modeling 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 Risk Modeling developers, check out our FAQs page.

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