Microservices Developer - Risk Technology - Associate at Jefferies

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Microservices, AWS, Kubernetes, EKS, Lambda, ECS, API Gateway, REST, JSON, JupyterHub, Terraform, CloudFormation, SQL, Caching, Streamlit

Industry

Investment Banking

Description

Description: Jefferies 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 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 discipline Personal Attributes: * Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data related issues * Strong verbal and written communication skills * Self-starter and entrepreneurial in approach * Ability to escalate and follow-up proactively * Good time management skills Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments. 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.

Responsibilities

The developer will design, implement, and maintain Python microservices deployed on AWS, focusing on building secure JupyterHub environments and developing Python-based APIs for risk analytics. Primary duties include building compute services for risk measures like VaR and Stress testing, and ensuring service reliability through observability and autoscaling.