About UsJefferies Financial Group Inc. (‘‘Jefferies,’’ ‘‘we,’’ ‘‘us’’ or ‘‘our’’) is a U.S.-headquartered global full service, integrated investment banking and securities firm. Our largest subsidiary, Jefferies LLC, a U.S. broker-dealer, was founded in the U.S. in 1962 and our first international operating subsidiary, Jefferies International Limited, a U.K. broker-dealer, was established in the U.K. in 1986. Our strategy focuses on continuing to build out our investment banking effort, enhancing our capital markets businesses and further developing our Leucadia Asset Management alternative asset management platform. We offer deep sector expertise across a full range of products and services in investment banking, equities, fixed income, asset and wealth management in the Americas, Europe and the Middle East and Asia.Position / Group description:The Risk Technology group builds and supports a global risk platform enabling the Risk Management group to oversee all areas of risk across the Firm. The risk platform provides capabilities for measuring, quantifying, analyzing, reporting, and controlling exposures across market and credit.We’re seeking a hands‑on AWS Microservices Developer to design and build cloud‑native services that power risk analytics for our Risk Managers. You will develop a secure JupyterHub environment, build Python‑based APIs, and deliver high‑performance services that query and aggregate risk sensitivities and compute portfolio risk measures (e.g., VaR, Stress) and support what‑if analysis at scale. The ideal candidate combines strong distributed computing and data structures expertise with practical AWS/Kubernetes experience and a product mindset..Primary Responsibilities:- Design, implement, and maintain Python microservices deployed on AWS (e.g., EKS, Lambda, ECS) with API Gateway fronting REST/JSON endpoints. - Develop APIs that allow Risk Managers to query and aggregate sensitivities (delta/gamma/vega/CS01/etc.) by business hierarchies. - Build compute services for VaR (historical/parametric), Stress testing, scenario expansion, and what‑if simulation (e.g., add/remove trades, shocks, recalcs). - Stand up and manage a secure JupyterHub environment (authentication/authorization, resource quotas, notebook image curation). - Build scalable, fault‑tolerant services using Kubernetes (EKS), Docker, and infrastructure‑as‑code (Terraform/CloudFormation). - Implement robust caching strategies for low‑latency computations and repeated risk queries. - Own service reliability: observability (CloudWatch, Prometheus/Grafana), logging/metrics/tracing, autoscaling, and SLOs/SLAs. - Provide Streamlit apps and dashboards for interactive risk exploration, scenario design, and reporting.Essential Experience/ Skills:- 5–7+ years of software engineering experience, including Python microservices in production. - Strong AWS experience (EKS/Kubernetes, API Gateway, Lambda/ECS, S3, ElastiCache/Redis, CloudWatch). - Solid SQL skills; designing normalized schemas, indexing strategies, and query optimization. - Experience with distributed computing, performance tuning, concurrency, and data structures applied to large‑scale aggregation. - Hands‑on with caching patterns (write‑through/back, TTLs, invalidation, etc). - Building secure REST APIs with API Gateway (authN/Z, rate limiting, throttling, versioning) and Python frameworks (FastAPI/Flask). - JupyterHub administration (user management, spawner configuration, profiles, resource policies) and Streamlit app development. - CI/CD, testing (unit/integration/e2e), and observability tooling (eg: Grafana). - Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical disciplineAt Jefferies, we value the unique skills of every employee. We encourage professional growth and career development and offer competitive benefits and compensation. If you’re looking to build your career as part of a fast-paced technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you.At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.Jefferies is an equal employment opportunity employer, and takes affirmative action to ensure that all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with disabilities, as required by applicable law.We have been made aware of bad actors falsely claiming to be associated with Jefferies Group soliciting individuals to attend virtual job interviews, complete online tests or courses and sending fictitious employment offer letters.Please note that any email contact with Jefferies personnel will come from an “@” email address. Further, Jefferies will not notify shortlisted candidates through social media platforms (e.g. WhatsApp or Telegram) or ask candidates to make payment to participate in the hiring process.
Job Title
Microservices Developer - Risk Technology - Associate