Software Engineer III - C#/.Net - Neovest - Brazil

JPMorgan Chase & Co.; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading financial services firm in São Paulo is looking for a Software Engineer III with over 3 years of experience. The ideal candidate will design and deliver technology products while ensuring high production code quality. Proficiency in C#/.Net programming and quantitative modeling in finance is required. The role involves working collaboratively in an agile environment to solve complex technical problems and drive improvements using data insights. The position offers excellent growth opportunities and integral involvement in technology advancements.

Qualificações

• 3+ years of applied experience in software engineering.
• Experience in quantitative modeling and financial engineering.
• Solid understanding of Agile methodologies.

Responsabilidades

• Design and deliver technology products as part of an agile team.
• Develop and maintain secure production code.
• Identify hidden problems in data to drive software improvements.

Conhecimentos

C#/.Net programming

Quantitative modeling

Problem-solving skills

Agile methodologies

Financial mathematics

Formação académica

Bachelor's or Master's degree in a related field

Ferramentas

SQL

Python

R

MATLAB

Descrição da oferta de emprego

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within Neovest, you serve as a seasoned member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts and 3+ years of applied experience.
• Bachelor's or Master's degree in Quantitative Finance, Financial Engineering, Computer Science, Mathematics, or a related field.
• Proven experience in quantitative modeling and financial engineering.
• Knowledge of Capital Markets and Trading, with a strong foundation of financial products include: Equities, Fixed Income, FX, Swaps
• Proficiency in programming with C#/.Net, with a strong understanding of object‑oriented programming principles.
• Solid understanding of financial mathematics, derivatives pricing, risk management, and quantitative analysis techniques.
• Hands‑on practical experience in system design, application development, testing, and operational stability.
• Strong analytical and problem‑solving skills, with the ability to work independently and as part of a team.
• Experience in developing, debugging, and maintaining code in a large corporate environment with C#/.Net and a database querying language (e.g. SQL)
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front‑end technologies.
• Exposure to cloud technologies.
• Experience in the financial services industry, particularly in trading, risk management, or asset management.
• Familiarity with other programming languages and tools commonly used in quantitative finance, such as Python, R, or MATLAB.
• Knowledge of database management and SQL.