About this role
About the role
Our Middle Office Applications group in Bengaluru builds and runs the trade service, calculation tools and data pipelines the business depends on every day.
We’re looking for a hands-on engineer with 5+ years’ experience who enjoys working close to the business and owning problems through to resolution
Essential Responsibilities:
- Work with engineers and business users to turn analytical and operational requirements into well-specified, testable software.
- Build and test applications, APIs, calculation tools and data pipelines using Python, Java, C++ or similar languages used by your team.
- Develop and maintain the firm-wide trade service responsible for delivering live trade data.
- Deliver accurate financial calculations and reporting by applying an understanding of the underlying financial concepts.
- Support data exchange with third-party vendors, ensuring accuracy, reliability, and timely delivery.
- Validate data, investigate discrepancies and handle missing or stale inputs carefully.
- Use approved AI coding assistants to develop, test and improve software, while taking responsibility for understanding and checking the output.
- Participate in code reviews, automated testing and deployment, and write documentation that makes systems easier to use and maintain.
- Improve scheduled processes and application performance; use logging and monitoring to investigate failures and reduce manual intervention.
- Provide production support, collaborating with platform and SRE teams to troubleshoot and resolve issues effectively.
WORK EXPERIENCE/BACKGROUND:
Essential
- 5+ years of commercial experience in hands-on Java or Python development, with strong programming skills in one or more of Python, Java, C++, or similar languages.
- Familiarity with SQL and relational databases, and the ability to reason carefully about data quality.
- Strong analytical, troubleshooting and problem-solving skills, with the ability to quickly diagnose and resolve complex technical issues and a disciplined approach to debugging and testing, including numerical accuracy, edge cases and reproducibility.
- Experience with a scheduling tool such as Airflow.
- Clear communication, collaborative working habits and willingness to take ownership of a problem through resolution.
- Comfortable with handling large volumes of financial data
- Experience with various dev tools such as Visual Studio, IntelliJ, PyCharm, GitHub, Datadog etc.
- Expertise using AI coding tools with independent verification of their out
Desirable
- 3+ years commercial experience in a relevant area of finance.
- Experience with AWS
- Experience with web services.