The Role

We are seeking a highly qualified and talented software engineer to join our Risk Technology Infrastructure team. We are responsible for building industry-leading systems to generate, analyze, and report on streaming and historical data to enable quick decision making by our risk team, management team, and global portfolio managers.  This role will have a specific focus on supporting the rapid expansion of the Credit strategy within Schonfeld. The ideal candidate has a mindset of creatively applying the best modern technologies to solve business problems.

What you'll do 

The Senior Software Engineer will be responsible for delivering solutions that build out, modernize, and automate Credit risk management capabilities. Key areas of focus include:

Credit Risk Reporting Framework — designing and implementing credit mandate oversight, alpha time series analytics, audit controls, and new reporting requirements to support Credit Risk analysts.

Specialist Platform Integration — building full revaluation and analytics extraction pipelines with third-party credit analytics platforms including Monis, Yieldbook, and Intex, as well as integrating future internal or external credit analytics libraries.

Credit Instrument Coverage — developing direct integration for mortgages, convertibles, and structured credit risk analytics, as well as productionizing vendor report workflows.

You will also participate in expanding platform capabilities based on rapidly changing business requirements, collaborate closely with Credit Risk analysts and portfolio managers, and provide Level 3 support across the globe.

What you’ll bring

What you need:

• Expertise with Python and Java development
• Expertise with software design and architecture, particularly data-intensive systems
• Strong understanding of credit instruments and products (e.g., corporate bonds, structured credit, mortgages, convertibles, credit derivatives)
• Experience working in credit risk technology or credit-focused quantitative finance within the financial services industry
• Experience with fixed income risk metrics, scenario & stress testing, and portfolio analytics like VaR and Vol
• Expertise with relational databases, data storage, data warehousing, and data analysis
• Excellent communication skills, both written and verbal, with the ability to translate between business and technology stakeholders

We’d love if you had:

• Experience with third-party credit analytics platforms such as Monis, Yieldbook, or Intex
• Experience with Cloud data warehousing and analytic platforms such as Iceberg, Snowflake, or SingleStore
• Experience building systems in cloud services such as AWS, including streaming and event-driven architectures
• Experience with modern CI/CD and deployment orchestration tools such as Docker and Kubernetes

Who we are 
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $250,000 and $300,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.