Senior Quantitative Developer/EngineerThis role willsuit an autonomous and technically adept quant with deep expertisein fixed income modeling, who thrives on owning the end-to-enddevelopment process—from data sourcing and cleaning, to modeldesign, back-testing, and performance optimization. The successfulcandidate will seamlessly combine rigorous mathematical modelingwith advanced computational techniques, all while maintainingtop-tier coding standards, documentation, and compliancereadiness.Role Overview:As a Senior Quantitative Researcher, youwill play a key role in the end-to-end development and refinementof advanced pricing, risk management, and tradingmodels—particularly within the fixed income and rates space. Theideal candidate will operate autonomously, taking full ownership ofthe research pipeline, from initial hypothesis formation and datasourcing to model coding, testing, and implementation. Without thetraditional support of business analysts, you will have the freedomand responsibility to shape the direction of your research andensure the robustness, accuracy, and scalability of your models.KeySkills & Capabilities:Fixed Income & DerivativesModeling:Proficiency in building and calibrating interest ratecurves and employing advanced stochastic volatility frameworks forpricing and risk management of interest rate options.Mathematical& Quantitative Techniques:Strong grasp of numerical methods,optimization, and Monte Carlo simulation, enabling the constructionof arbitrage-free curves, parameter stability, and modelconvergence under various market conditions.Programming &Automation:Expertise in Python, C++, or similar languages, with afocus on data ingestion, ETL automation, high-performancecomputing, parallelization, and memory management to ensure timelyand efficient computations.Statistical Validation &Back-Testing:Ability to design and maintain robust back-testingframeworks, apply rigorous statistical analyses, hypothesistesting, and performance metrics to validate and refine tradingsignals and model assumptions.Data Handling &Integration:Competence in acquiring, cleaning, and integratingcomplex datasets from multiple sources without external support,ensuring data integrity, reproducibility, andscalability.Documentation & Model Governance:Commitment todisciplined coding practices, comprehensive documentation, versioncontrol, and auditability to meet internal risk standards, complywith regulatory requirements, and maintain high-quality modelgovernance.Key Responsibilities:Model Development &Enhancement:Independently conceive, design, and optimizequantitative models for interest rate derivatives, governmentbonds, and other related fixed income products.Data PipelineManagement:Identify, gather, clean, and prepare data sources—bothhistorical and real-time—integrating them seamlessly into theresearch framework without dedicated business analystsupport.Back-Testing & Validation:Implement rigorousperformance tests, run simulations, stress-test model assumptions,and continuously refine approaches based on empirical results andchanging market conditions.End-to-End Ownership:Oversee all stagesof research execution, from initial idea generation to finalcoding, deployment, and documentation, ensuring that models adhereto high standards of governance, auditability, andreproducibility.Strategic Collaboration:Communicate complexmodeling concepts, performance metrics, and insights effectively toportfolio managers, traders, and risk managers, ensuring modelsalign with broader portfolio objectives and risk parameters.IdealCandidate Profile:Educational Background:An advanced degree (PhD orMaster’s) in a quantitative field—such as Mathematics, Physics,Engineering, or Computer Science—from a top-tier institution.DomainExpertise:Proven experience with fixed income instruments, yieldcurve construction, and interest rate volatility modeling.TechnicalProficiency:Strong programming skills in Python, C++, or similarlanguages. Familiarity with quantitative libraries, versioncontrol, and production-level code deployment isessential.Independent Execution:Demonstrated ability to handleevery aspect of the research cycle without delegated support.Skilled at data wrangling, model calibration, and the proactivetroubleshooting of technical issues.Analytical Mindset &Curiosity:Highly analytical, detail-oriented, and intellectuallycurious, with a genuine passion for exploring innovativequantitative methods and adapting models to evolving marketconditions.Clear Communication:Ability to distill complexquantitative findings into actionable insights and convey themeffectively to both technical and non-technicalstakeholders.