Job Description
About Us
Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions. Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it's solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape. Job Summary: We are seeking a highly skilled Python Backend Developer with strong experience in FRTB (Fundamental Review of the Trading Book), Market Risk, and backend application development within Capital Markets/Investment Banking domains. The candidate will be responsible for designing, developing, and supporting scalable risk analytics platforms and regulatory reporting solutions.
Key Responsibilities
Design and develop scalable backend applications using Python
Build REST APIs and microservices for market risk and FRTB calculations.
Work closely with Risk, Quant, and Trading teams to implement regulatory requirements
Develop and optimize risk calculation engines for VaR, Expected Shortfall, PnL Attribution, and Sensitivities
Participate in architecture, code reviews, testing, and deployment activities.
Ensure high performance, reliability, and scalability of applications
Collaborate in Agile/Scrum development environments.
Key Requirements
Strong hands-on experience in Python development.
Experience with Django, Flask, or Fast API.
Strong understanding of Data Structures, Algorithms, and Problem Solving.
Good knowledge of FRTB, Market Risk, Basel regulations, VaR, Expected Shortfall
Experience with REST APIs, Microservices, and distributed systems
Strong SQL/database knowledge (Oracle, PostgreSQL, SQL Server)
Experience with Git, CI/CD, Docker, Kubernetes.
Exposure to cloud technologies and DevOps practices.
Strong communication and stakeholder management skills.
Preferred Skills
Experience in Capital Markets or Investment Banking domain.
Knowledge of Quartz platform or Risk Analytics systems.
Experience with Pandas, NumPy, PySpark.
Familiarity with Agile methodologies and test-driven development.
