Financial Engineer

We are looking for a highly analytical and technically strong Financial Engineer to join our growing quantitative and financial analytics team. This role is ideal for professionals who can bridge finance and technology by building scalable quantitative models, risk analytics frameworks, and data-driven financial solutions. Responsibilities Design, develop, and optimize quantitative financial models and analytics frameworks Build and validate risk models using historical and real-time financial data Analyze fixed income securities and structured products Compute and evaluate risk metrics, including duration, convexity, spreads, KRDs, and KRCS Develop scalable data pipelines for market and reference data processing Collaborate with portfolio managers, traders, risk teams, and engineering teams Integrate quantitative models into production-grade systems Strong programming expertise in Python Experience with quantitative modelling, numerical methods, and Monte Carlo simulations Hands‑on experience with Pandas, NumPy, SciPy, QuantLib Knowledge of SQL/NoSQL databases Exposure to cloud platforms such as AWS, Azure, or GCP Strong understanding of fixed income analytics and portfolio risk management Experience with Bloomberg, FactSet, Refinitiv, or similar market data platforms Familiarity with Yield Book, Intex, Aladdin, or related financial systems is preferred Master’s or PhD in Financial Engineering, Quantitative Finance, Mathematics, Statistics, or related fields CFA, FRM, or CQF certifications are a plus Qualifications Strong analytical and problem‑solving mindset Ability to explain complex quantitative concepts clearly Collaborative attitude with experience working in fast‑paced environments If you are passionate about quantitative finance, financial modelling, and building high-impact analytics solutions, we’d love to connect. #J-18808-Ljbffr