Arc helps you find and hire top freelance Quantitative Risk Modeling engineers for your jobs. With 986 Quantitative Risk Modeling programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Quantitative Risk Modeling developers and experts that you can trust.
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Remote Quantitative Risk Modeling Developer
Hi! My name is Anabella and I'm mathematician with a passion for Data Science. My strong interest in pursuing a career in Data led me to balance my master's degree with my first job as a junior data scientist. After finishing my studies, I was able to land a job in Spain's first credit cooperative as a credit risk analyst. I provide a solution-driven mindset, always looking for creative and rigorous answers that bring value to my team. I feel a great inclination to critical thinking and I keep an open attitude towards change, ready to learn and improve in every way. Essentially, I am a person who's not afraid to think big 😊 My objective is to be a part of a qualified, diverse and motivating team that allows me to face new challenges.
SQL • 2 yrs
R • 1 yrs
Data Science • 2 yrs
Machine learning • 2 yrsR Markdown • 1 yrsExcel • 1 yrsScikit-learn • 1 yrsPandas • 1 yrs
Python • 1 yrsModellingNumPySenior Freelance Quantitative Risk Modeling Developer
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).
Python • 10 yrsData Science • 10 yrsMachine Learning • 10 yrsTime Series Forecasting • 10 yrsDeep Learning • 3 yrsScikit-learn
Freelance Quantitative Risk Modeling Developer
Experienced AI and Quantitative Researcher with a solid academic foundation gained through roles as a Teacher's Assistant and Researcher at the University of Computing & Information Technology at AAST. Skilled in creating engaging learning environments and driving forward groundbreaking research endeavors. As an Artisan AI Engineer, I have led numerous projects spanning Reinforcement Learning, NLP, and Computer Vision, showcasing a diverse skill set and a knack for innovation. My academic research primarily focuses on quantitative finance, honing my analytical skills and fueling my passion for developing cutting-edge solutions at the convergence of physical measurement modeling and machine learning.
Python • 4 yrsData Science • 3 yrsJAX • 1 yrsMachine learning • 3 yrsNLP • 2 yrs
TensorFlow • 1 yrsComputer Vision • 1 yrsNumPyMatplotlibPandasScipySeabornStatistical AnalysisBayesian StatisticsBig data technologies probability theory
AIScikit-learnReinforcement LearningDeep LearningInvestment ManagementMathematical OptimizationPortfolio managementDeep Reinforcement LearningPyTorchMathematical Programming
JSONYAML
Docker
Google Cloud PlatformForecastingDashPlotlyFinancial AnalysisMultivariate Analysis
Senior Freelance Quantitative Risk Modeling Developer
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.
Python • 10 yrs
Flutter • 6 yrs
Rust • 6 yrs
JavaScript • 10 yrsSQL • 10 yrs
DevOps • 6 yrs
MongoDB • 4 yrs
AWS • 3 yrs
Vue.js • 2 yrs
Elm • 1 yrs
C#Telegram APIPine ScriptTradingView
HTML/CSS
Flask
ReactWebflowFastapi
C++
CShellAnsibleDocker
Remote Quantitative Risk Modeling Developer
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.
Data Science • 6 yrsMachine learning • 6 yrsPython • 6 yrsTensorFlow • 6 yrsComputer Vision • 6 yrsR • 5 yrsNLP • 5 yrsAI • 5 yrsSQLAzureSASApache SparkJavaScriptMining Industry
Freelance Quantitative Risk Modeling Developer
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
Python • 3 yrsSQL • 3 yrsApache Spark • 3 yrsDocker • 3 yrsLLM • 3 yrsTensorFlow • 3 yrsMachine learning • 3 yrsFlaskNumPyPandasData analysisApache KafkaKubernetesBERTGPTStatistical modelAWSLangchainLLaMAOpenCVOCRTableauDeep LearningPyTorchRESTful APIStatistical AnalysisFastapiTransformersScikit-learnBARTMongoDBData analyticsPredictive AnalyticsSenior Freelance Quantitative Risk Modeling Developer
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.
SQL • 5 yrsGoogle BigQuery • 4 yrsData analysis • 6 yrsExcel • 5 yrsLooker • 3 yrsPython • 3 yrsGoogle Analytics • 3 yrsSnowflake • 2 yrsPandasBig DataGoogle Cloud PlatformGoogle adsApache Spark
PostgreSQLMathematicsFinTech
Senior Freelance Quantitative Risk Modeling Developer
I have extensive experience in quantitative mI’m a Data Scientist and Machine Learning Engineer working in multiple applications and getting the best insights out of data, the 21st Century gold. I enjoy turning complex problems into simple, practical, innovative, and impactful solutions. My job is to create end-to-end Machine Learning products alongside performing hands-on data analyses over enormous datasets toward detecting patterns and inducing better data-driven decision making. With over 6 years of industry experience, I have applied quantitative analysis, experiment design, and develop machine learning models for diverse business solutions. Throughout this experience, I have had the opportunity to design and create models that are helping organizations manage risk behavior profiles, reduce tax gaps, and build advanced analytical engines for forecasting and detecting deviations from unstructured information., and conducted exploratory variable research.
AI • 7 yrsMachine Learning • 7 yrsPython • 7 yrsSQL • 7 yrsTensorFlow • 7 yrsData Science • 7 yrsComputer Vision • 5 yrsNLP • 5 yrsPyTorch • 4 yrsR • 3 yrsExcel VBAOracle PL/SQLPredictive AnalyticsResearchResearch PapersDeep Reinforcement LearningMachine Learning ResearchBashAnalyticsDeep LearningCloud Computing PlatformsSenior Freelance Quantitative Risk Modeling Developer
I have over seven years of experience in finance, development of Basel compliant statistical credit risk models, application of data mining and machine learning in banking and use of Big Data technologies. I'm currently working as Data Scientist in Atlantic Grupa, one of the leading FMCG companies in the region. In 2020 I've started my own sole proprietorship company and started part-time freelancing mostly for the USA companies. I've graduated Managerial informatics at Faculty of Economics and Business in Zagreb.
Machine Learning • 10 yrsData Science • 10 yrsPython • 6 yrsSQLPostgreSQLWeb ScrapingGoogle BigQueryGoogle Cloud PlatformMicrosoft SQL ServerApache AirflowROracleData Visualization
Apache HadoopData EngineeringStatisticsSASData MiningData analyticsOracle Database
Senior Freelance Quantitative Risk Modeling Developer
Data Science, Machine Learning Engineering, Data Engineering, Advanced Analytics & Cloud practitioner / GCP / Databricks
Python • 10 yrsData ScienceGoogle Cloud PlatformData EngineeringAzure Data FactoryMachine LearningComputer VisionDatabricksSQLSAS
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Get startedArc helps you build your team with our network of full-time and freelance Quantitative Risk Modeling developers worldwide, spanning 190 countries.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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.
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 350,000 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.
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.
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.
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.
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.
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.
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.
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 350,000 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.
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.
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.