Title: Principal Quantitative Developer Location: 499 Washington Blvd., Jersey City NJ Develops high-performance enterprise analytics platforms to support proprietary investment risk models across fixed income securities (bonds, mortgage-backed securities, structured products, and derivatives), using C/C++, Python, SQL, and Linux. Performs integration and utilization of financial libraries (QuantLib and MATLAB), along with financial data sources – Intex, Bloomberg, Refinitiv, TIPS, and other market data providers. Performs infrastructure enhancements using modern DevOps practices (Continuous Integration/Continuous Delivery (CI/CD) pipelines, Kafka, Docker, Helm charts, Amazon Web Services (AWS), and Elastic Kubernetes Service (EKS)). Primary Responsibilities: - Develops software system testing and validation procedures, programming, and documentation. - Researches, designs, and develops computer and network software or specialized utility programs. - Analyzes information to determine, recommend, and plan computer software specifications on major projects, and proposes modifications and improvements based on user need. - Applies principles and techniques of computer science, engineering, and mathematical analysis. - Updates software or enhances existing software capabilities. - Confers with systems analysts and other software engineers/developers to design systems and to obtain information on project limitations and capabilities, performance requirements, and interfaces. - Develops software system testing and validation procedures, programming, and documentation. - Performs independent and complex technical and functional analysis for multiple simultaneous projects. - Performs post-installation testing to identify and resolve technical problems. - Assists in the planning and execution of user acceptance testing. - Develops technical modules in support of complex assignments and multi-phase projects. - Develops comprehensive documentation for multiple applications in support of corporate initiatives. - Partners with investment teams on portfolio construction, risk management, and alpha research projects. - Adds scale, rigor, and repeatability to research through software development standard methodologies. - Implements research projects through the entire software development lifecycle using full-stack implementation. - Applies advanced analytics and quantitative concepts to support investment needs and develop new solutions. Education and Experience: Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, Quantitative Finance, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Quantitative Developer (or closely related occupation) developing, testing, and maintaining software applications, using C, C++, C#, Python, or SQL in a Linux and Windows based distributed environment. Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, Quantitative Finance, or a closely related field (or foreign education equivalent and three (3) years of experience as a Principal Quantitative Developer (or closely related occupation) developing, testing, and maintaining software applications, using C, C++, C#, Python, or SQL in a Linux and Windows based distributed environment. Skills and Knowledge: Candidate must also possess: - Demonstrated Expertise (“DE”) performing software development using C, C++ 14/17, STL, Boost, and C# in Linux and Windows environments; performing distributed messaging and data streaming, using Apache Kafka; applying Object-Oriented Programming principles and design patterns; implementing networking protocols, data structures, algorithms, and concurrency models; and processing financial market data using software engineering techniques. - DE performing all stages of Software Development Life Cycle (SDLC) – gathering and analyzing requirements (using SQL and Python) and coordinating the deployment, testing, and continuous enhancement of software applications, adhering to Agile methodologies. - DE performing software application testing, troubleshooting, and debugging (to meet functional and non-functional requirements), using GNU Debugger (GDB), Visual Studio Debugger, Python, and SQL; providing high level technical support to production applications to ensure their stability, performance, and reliability. - DE deploying applications into production environment by establishing a robust CI/CD pipeline with Jenkins, using Git or GitHub for version control and Python or Linux scripting for automation; and containerizing the application components with Docker managed, using Kubernetes helm chart (EKS) within the AWS Cloud EC2 and S3 services. Salary: $173,000.00 - $183,000.00/year. #PE1M2 #LI-DNI Certifications: Category: Information Technology Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Develop and implement control system code for audio-visual systems, design custom graphical user interfaces, troubleshoot A/V systems, and coordinate programming efforts to ensure efficient integration and functionality.

Title: Senior Software Engineer, Merchant Decisioning Location: San Francisco, CA Employment Type Full time Location Type Hybrid Department Engineering About Us: At Parafin, we’re on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. We are looking for an experienced software engineer to join the merchant decisioning team and build a scalable platform/infrastructure that is critical for underwriting and decisioning hundreds of thousands of businesses on a daily basis. As part of the team, you will be working closely with Data Science, Growth and Risk stakeholders to efficiently serve the product initiatives that serve Parafin’s portfolio and empower stakeholders with controls to determine Parafin’s growth and bottom line. Are you an excellent software engineer with a drive to solve impactful and difficult problems and eager to build the merchant decisioning platform for an ambitious and growing startup? If so, come join us! What You’ll Be Doing: - You will own our Python-based underwriting and application decisioning product and drive its development. - You will closely define the architecture and underlying infrastructure all the way from the technologies we use to the design principles that we apply. - You will work closely with our data scientists to build a platform that is reliable, scalable, and easily iterable. - You will be integrating ML Infrastructure into the platform to make DS-driven decisioning more powerful and intelligent. What We’re Searching For: - 5+ years of experience working in an engineering role - You care deeply about building high-quality infrastructure with relevant experience and take immense pride in your craft. - You are comfortable owning and driving the development of the product from 0 to 1. - You thrive in ambiguity and have a strong grasp of engineering fundamentals. - You are excited about working on a small team and helping us set the foundations for the company. What We Offer: - Salary Range: $230k-$265k - Equity grant - Medical, dental & vision insurance - Work from home flexibility - Unlimited PTO - Commuter benefits - Free lunches - Paid parental leave - 401(k) - Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

Design and implement scalable mobile applications while optimizing performance and reliability. Collaborate with teams on application development and perform advanced technical analysis for projects to enhance user experiences.