{"id":1253327,"url":"https://alion.io/job/quantumneuron-technologies-senior-python-developer-risk-analytics","title":"Senior Python Developer - Risk Analytics","company":{"id":3806757,"name":"QuantumNeuron Technologies","domain":"qneurontechnologies.com","url":"https://alion.io/company/quantumneuron-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Pune, India","Chennai, India","Hyderabad, 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intersection of quantitative finance and scalable software engineering, providing robust infrastructure for complex risk modeling and real-time trade processing. \n\nOur culture emphasizes technical rigor, intellectual curiosity, and the delivery of mission-critical solutions that drive decision-making in the capital markets sector.\n\nRole Overview : \n\nAs a Senior Python Developer specializing in Risk Analytics, you will be responsible for designing and maintaining the computational engines that power our clients' risk management frameworks. \n\nYou will work closely with quantitative researchers, risk managers, and data engineers to translate complex financial models into production-grade code. \n\nThis role is pivotal in ensuring the stability and performance of our risk platforms, directly impacting how our clients manage market volatility and regulatory capital requirements.\n\nKey Responsibilities : \n\n- Develop and optimize high-performance Python-based risk engines to calculate Value at Risk (VaR) and support CCAR regulatory reporting requirements.\n\n- Collaborate with quantitative teams to implement FICC pricing models and risk sensitivities, ensuring accuracy and computational efficiency.\n\n- Architect and maintain automated job workflows using Quartz Scheduler to manage large-scale batch processing of risk data.\n\n- Integrate complex C++ quantitative libraries into the Python ecosystem to balance low-latency execution with developer productivity.\n\n- Design and manage robust SQL schemas to handle high-volume financial datasets, ensuring data integrity across risk reporting pipelines.\n\n- Implement CI/CD pipelines and version control best practices using Git to ensure seamless deployment and high availability of production systems.\n\n- Troubleshoot and resolve performance bottlenecks in distributed computing environments to meet strict regulatory and business SLAs.\n\nRequired Skillset : \n\n- Demonstrated expertise in building scalable Python applications within the Capital Markets domain, with a deep understanding of financial instruments and risk metrics.\n\n- Proven ability to manage and optimize complex SQL queries and database structures for large-scale financial data analysis.\n\n- Strong proficiency in integrating C++ components with Python to enhance computational performance in risk analytics.\n\n- Experience in orchestrating complex workflows using Quartz Scheduler and maintaining high-availability production environments.\n\n- Excellent communication skills with the ability to articulate technical risk concepts to non-technical stakeholders and cross-functional teams.\n\n- Strong grasp of CI/CD methodologies and Git-based development workflows in a collaborative, team-oriented environment.\n\n- Ability to thrive in a hybrid work environment across our Bangalore, Pune, Chennai, or Hyderabad offices, demonstrating self-motivation and technical leadership.\n\n- A minimum of 6 to 13 years of professional 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