2 months ago
Base Salary
$235k - $275k/yr
Responsibilities
- Design, build, and maintain high-performance risk systems for the Clearing function.
- Architect infrastructure to ingest and transform market-data feeds efficiently.
- Apply data models and workflows across risk management, regulatory reporting, and clearing.
- Ensure high availability, disaster recovery, data freshness, and throughput.
- Enforce code quality, automated testing, and SDLC best practices.
- Identify bottlenecks and cost inefficiencies through performance profiling.
- Collaborate with product managers, quants, and risk managers across global teams to translate requirements into technical specifications.
- Drive the evolution of the platform’s target-state architecture and continuous improvement.
Requirements
- 10+ years of engineering experience supporting front-office trading systems at a regulated financial institution.
- Deep knowledge of risk management frameworks, including initial margin, variation margin, SPAN, VaR, default waterfalls, real-time mark-to-market valuation, stress testing, and backtesting engines.
- Strong understanding of derivatives, including options, futures, Delta, Gamma, and their effect on risk profiles.
- Expert Java proficiency building fault-tolerant, high-throughput systems.
- Deep experience with performance tuning, garbage-collection optimization, concurrency, and memory management.
- Implementation experience with Aeron and Kafka.
- Expertise designing data structures, event schemas, and database models.
- Proficiency with SQL and NoSQL data stores, including Postgres, Redis, and MongoDB.
- Understanding of testing methodologies, Twelve-Factor App practices, distributed high-availability and disaster-recovery strategies, and hexagonal architecture.
- Ability to use large language models such as Claude and Gemini to accelerate development while maintaining engineering standards.
- Experience with cloud and DevOps ecosystems such as AWS, GCP, Kubernetes, and Docker is preferred.
- Experience with Airflow and dbt is preferred.
- Knowledge of FIX and FIXML protocols is preferred.
- Familiarity with Databricks, Snowflake, or BigQuery is preferred.
- Experience with Tableau or Superset is preferred.
- Strong ownership, outcome orientation, collaboration, mentorship, and knowledge-sharing capabilities.
Benefits
- Competitive base salary of $235,000-$275,000, plus discretionary annual target bonus and performance incentives/benefits.
- Equal opportunity employer committed to a globally diverse community.
Tech Stack
Apache AirflowApache KafkaApache SupersetAWSDatabricksdbtDockerGoogle BigQueryGoogle Cloud PlatformJavaKubernetesMongoDBPostgreSQLRedisSnowflake
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