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Remote Quantitative Risk Modeling Developers
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128 Remote Quantitative Risk Modeling developers and experts available to hire:

Quantitative Risk Modeling developers in Brazil - Douglas S.
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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.**_

Quantitative FinanceFinancial modelingPHPLaravelVue.jsMySQLJavaScriptGitSQLWordPressAWSLeadershipHTML/CSSPythonMachine learningFront-EndDockerTeam BuildingBack-EndClean ArchitectureTailwind cssGPTFinancial AnalysisAIAPIRedisElasticsearchSocket.IOWooCommerceBootstrapShopifyQueuesAutomationStripeReactSESReact NativeMarketing analysis
+31
Git, SQL, WordPress, AWS, Leadership, HTML/CSS, Python, Machine learning, Front-End, Docker, Team Building, Back-End, Clean Architecture, Tailwind css, GPT, Financial Analysis, AI, API, Redis, Elasticsearch, Socket.IO, WooCommerce, Bootstrap, Shopify, Queues, Automation, Stripe, React, SES, React Native, Marketing analysis
Quantitative Risk Modeling developers in Brazil - Alexandre N.
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Alexandre N.

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

I am a Data Scientist with expertise in Machine Learning, Python, TensorFlow, GCP and Financial Markets. I have experience in developing ML models, forecasting investments, and architecting trading platforms.

Quantitative TradingFeature ModelingData ScienceMachine learningPythonSQLPandasScipyScikit-learnTensorFlowGoogle Cloud PlatformSupervised LearningUnsupervised LearningHigh-Frequency TradingJavaAlgorithmic tradingPortfolio managementEconomicsProject development
+12
Scipy, Scikit-learn, TensorFlow, Google Cloud Platform, Supervised Learning, Unsupervised Learning, High-Frequency Trading, Java, Algorithmic trading, Portfolio management, Economics, Project development
Quantitative Risk Modeling developers in Brazil - Luiza S.
Luiza S.

Quantitative Risk Modeling developer in Brazil (UTC-3)

Skilled professional with 16 years of experience with a strong backend engineering (PHP - Laravel) background, microservices and API REST development, use of Laravel resources as artisan commands, jobs, listeners and queues, design patterns and SOLID best practices attention, in addition to more than a decade of experience in data engineering, DB administration, big data extraction with ETLs flows, MySQL, Microsoft SQL Server and Postgres databases management. Experience in Scrum Master role position, with Scrum ceremonial meetings sponsorship, story users definition, backlog ownership, OKRs tracking and KPIs monitoring. Business processes analysis and BPM modeling.

Data modelingRisk managementPHPLaravelLeadershipMicrosoft SQL ServerMySQLSQLAPIAPI IntegrationAWSPostgreSQLProject managementWireframing/prototypingScrumKanbanMentoringScrum MasterUser StoriesDesign thinkingData analyticsAgileCertified Scrum MasterMetabaseDesign SystemsDoctrineMessage QueueMessagingDockerETLWeb ServiceMySQL OptimizationMicroservicesSOLID PrinciplesLumenWebhooksCI/CDAsynchronous ProgrammingRESTful APIEloquent ormWorkflow AutomationProofs
+35
SQL, API, API Integration, AWS, PostgreSQL, Project management, Wireframing/prototyping, Scrum, Kanban, Mentoring, Scrum Master, User Stories, Design thinking, Data analytics, Agile, Certified Scrum Master, Metabase, Design Systems, Doctrine, Message Queue, Messaging, Docker, ETL, Web Service, MySQL Optimization, Microservices, SOLID Principles, Lumen, Webhooks, CI/CD, Asynchronous Programming, RESTful API, Eloquent orm, Workflow Automation, Proofs
Quantitative Risk Modeling developers in Brazil - Daniel C.
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Daniel C.

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

With over 17 years of expertise in computational system analysis, research, and development, I have a strong background in backend web technologies, including Python, Golang, Rust, and TypeScript (NodeJS). I have delivered scalable solutions within microservices architectures. Nowadays, I am focused on advancing my knowledge in Artificial Intelligence, concentrating on Model Selection, Hyperparameter Tuning, and Reinforcement Learning to drive cutting-edge solutions.

Startup experienceData modeling • 6 yrsC++PythonBashSQLApache KafkaKubernetesRustGoElasticsearchPostgreSQLTypeScriptTerraformGraphql.jsTensorRTWAMPAWSMongoDBIstio
+12
Rust, Go, Elasticsearch, PostgreSQL, TypeScript, Terraform, Graphql.js, TensorRT, WAMP, AWS, MongoDB, Istio
Quantitative Risk Modeling developers in Brazil - Lawrence F.
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Lawrence F.

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

I'm a Data architect, with past experiences in Business Intelligence and Data Engineering on leading companies, such as IBM, B2W, and Nestlé. I've being working for 5 years on Big Data projects, using multiple clouds (GCP, AWS, and Azure) and architectures (Data Warehouses/Lakes/Lakehouses, Modern Data Platforms, Data Mesh). Currently, I'm the leader of Debussy, an opinionated open-source data architecture and engineering framework that integrates Airflow, Spark, and dbt.

Data modeling • 5 yrsSQLData warehousePythonAzureJiraGoogle Cloud PlatformConfluenceApache AirflowAWSMySQLPostgreSQLGoogle AnalyticsGoogle BigQueryApache SparkMicrosoft SQL ServerLookerApache BeamDatabricksAzure Data Factory
+13
Confluence, Apache Airflow, AWS, MySQL, PostgreSQL, Google Analytics, Google BigQuery, Apache Spark, Microsoft SQL Server, Looker, Apache Beam, Databricks, Azure Data Factory
Quantitative Risk Modeling developers in Brazil - Edson P.
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Edson P.

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

With over 25 years of experience in the software industry, I am a data modeling expert who facilitates cutting-edge solutions for data integration and analytics. I have developed and honed my technical skills as a data modeler, data architect, PL\*SQL developer, SQL developer, and project manager, working with diverse and complex data sources such as databases, flat files, Oracle, and others. Currently, I am providing data modeling and ETL/ELT services to Nestlé USA through Code 17 TEK and Tiger Analytics, two leading data analytics companies. My role involves creating and managing structured data for the integration of several different applications and enabling the business to make evidence-based decisions. In previous positions, I have led and supported large data projects in various fields such as lubes, energy, fare management, GPS/GPRS tracking systems, CRMs, construction, and others. I have also acquired good communication skills, working with teams around the globe such as Germany, Vienna, Abu Dhabi, Canada, India, and the US.

Data modeling • 10 yrsSQLData warehouseOracle PL/SQLETLAzureAzure Data FactoryAzure synapse analyticsPythonDatabricksAzure SQL ServerAzure synapseSnowflakeQlikOracle DatabaseAzure Data LakePython 3
+10
Azure synapse analytics, Python, Databricks, Azure SQL Server, Azure synapse, Snowflake, Qlik, Oracle Database, Azure Data Lake, Python 3
Quantitative Risk Modeling developers in Brazil - Arnoni R.
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Arnoni R.

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

Technology professional with over 20 years of experience and an entrepreneur, I have worked on various projects across different business sectors, serving as a developer, analyst, and project manager. I founded my own company, where I developed an advanced platform for the corporate communications market. This venture provided me with valuable insights into areas such as marketing and sales, serving hundreds of clients. Additionally, I collaborate with international companies in the data field, from collection to final analysis. I have a special interest and expertise in data, with several relevant certifications such as AZ-900, DP-900, PL-300, and DP-203. My professional role involves structuring data for companies, including architecture, engineering, and data analysis. I have experience with technologies such as Azure, AWS, Power BI, SQL Server, MySQL, Snowflake, Python, DWs, and DevOps. Skills Data Engineering • SQL • Data Warehousing • Power BI • Business Analysis • Snowflake • Azure Data Factory • Databricks • Data Modeling • ETL/ELT • C# • Python Check my portfolio in [https://portfolio.sigeweb.com.br/](https://portfolio.sigeweb.com.br/)

Startup experienceData modeling • 10 yrsData warehouseSQLData architectureData VisualizationETLAzureMySQLPostgreSQLAzure Blob StorageAzure Data FactoryAzure synapse analyticsSSISData analysisRequirements GatheringMicrosoft SQL ServerPentahoData analytics.NETPower BISnowflakeAirflowOracleProject managementSOA (Service-Oriented Architecture)Problem solving
+19
MySQL, PostgreSQL, Azure Blob Storage, Azure Data Factory, Azure synapse analytics, SSIS, Data analysis, Requirements Gathering, Microsoft SQL Server, Pentaho, Data analytics, .NET, Power BI, Snowflake, Airflow, Oracle, Project management, SOA (Service-Oriented Architecture), Problem solving
Quantitative Risk Modeling developers in Brazil - Jorge M.
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Jorge M.

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

Hi! Do you want to know about my work experience? I love teaching programming, especially programming with Python. Work experience with projects, data engineering, and data science: * Work experience creating machine learning models, such as Demand Forecasting, Fraud in-app payments, House prices prediction, Delivery time model (ETA), consumer retention, and dynamic pricing of bottles; * Work experience with serverless infrastructure, API Rest, Lambda Functions (AWS), Azure Functions (Azure), and Cloud Functions (GCP); * Work experience creation ETL flow using Beautiful Soup, Requests and saving data inside a Data lake such as S3 or Amazon Redshift. After that, i created a data warehouse using Snowflake; * Work experience with Snowflake; * Work experience creating a Data Catalog, Data lineage, and Business glossary product; * Work experience in Data Visualization ( Tableau, Power BI, Data Studio ); * Work experience in data analyses; * Work experience implementing a governed data lake at the cloud ( GCP, AWS, Databricks); * Solid knowledge about Data Quality; \-Bachelor in Electronic Engineer and Data Science

Data modeling • 10 yrsAWSSQLVerticaPythonAPIGoogle BigQueryGoogle Cloud PlatformCircleciTerraformData warehouseApache AirflowMySQLMachine learningComputer VisionGraphQLAzureETL
+11
Google Cloud Platform, Circleci, Terraform, Data warehouse, Apache Airflow, MySQL, Machine learning, Computer Vision, GraphQL, Azure, ETL
Quantitative Risk Modeling developers in Brazil - Victor B.
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Victor B.

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

I am a skilled Data Engineer and Architect with experience in building EDWs, data modeling, ETL processes, and implementing new technologies like Snowflake, DBT, and Airflow. My expertise includes SQL, NoSQL, and BI tools.

Data modeling • 6 yrsSQLData warehouseQlik SensePythonDBTSnowflakeData architectureData Warehouse TestingApache SparkData LakeDatabricksAWS
+6
Data architecture, Data Warehouse Testing, Apache Spark, Data Lake, Databricks, AWS
Quantitative Risk Modeling developers in Brazil - Luiz E.
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Luiz E.

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

Experienced data engineer specializing in data pipeline automation and cloud-based architectures. Proficient in designing, optimizing, and maintaining ETL/ELT workflows using modern data stacks. Skilled in integrating diverse data sources, ensuring data quality, and enabling data-driven decision-making. Expertise: Python, SQL, Airflow, ETL/ELT, Data Pipelines, GCP (BigQuery, Cloud Storage, Cloud Functions), Dataform, Metabase, Data Warehousing, API Integrations, Data Scraping

Data modeling • 3 yrsSQLPythonData warehouseAPIGoogle BigQueryFormData EngineeringGcp guidelinesData MigrationData QualityJupyterMetabaseDBT
+7
Data Engineering, Gcp guidelines, Data Migration, Data Quality, Jupyter, Metabase, DBT

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Why clients hire Quantitative Risk Modeling developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Hire Top Remote
Quantitative Risk Modeling developers
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Arc Quantitative Risk Modeling developers
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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 engineers, 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 developers 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 developers 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 developers 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 developers.

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 developers 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 developers, read our Engineer Job Description Guide & Templates.

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

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 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 developers 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 developers, 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 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. 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 developer 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 Quantitative Risk Modeling developer's 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 developer in 72 hours, or find a full-time Quantitative Risk Modeling developer 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 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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