Senior Software Engineer, Market & Counterparty Risk – Hybrid

Skandinaviska Enskilda Banken AB; Solna kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model (remote up to 2 days

Diversity and inclusive culture

Job summary

Skandinaviska Enskilda Banken AB is seeking a senior software engineer to join the Quant Development team within Market & Counterparty Risk. You will help build calculation engines and data flows for risk and analytics, delivering substantial changes with cross-team collaboration.

We value hands-on experience in production systems, Python/C#, SQL, and CI/CD, with a preference for those who can work independently and drive delivery while collaborating with quants, risk specialists, and other

Qualifications

• Strong hands-on experience building and maintaining production systems, ideally in C# and/or Python.
• Comfortable with SQL and with designing and validating data flows across systems.
• Able to deliver complex changes independently and explain the technical choices behind them.
• Work systematically with multiple people to deliver features, including planning work, aligning contributors, and driving progress to completion.
• Value testing, code review, CI/CD, and continuous improvement.
• Work well with both technical and non-technical stakeholders and support less experienced engineers through collaboration and review.
• Experience in financial markets, risk, or quantitative systems is beneficial, but not required.

Responsibilities

• Improve calculation flows, validation, and reliability for risk analytics.
• Build and improve pipelines for market and trade data using Python and Apache Airflow.
• Develop backend services, APIs, and integration components in C#.

Skills

C#

Python

SQL

CI/CD

Data pipelines

Airflow

Tools

Python

Airflow

C#

Job description

Skandinaviska Enskilda Banken AB is seeking a senior software engineer to join the Quant Development team within Market & Counterparty Risk. You will help build calculation engines and data flows for risk and analytics, delivering substantial changes with cross-team collaboration.

We value hands-on experience in production systems, Python/C#, SQL, and CI/CD, with a preference for those who can work independently and drive delivery while collaborating with quants, risk specialists, and other