Wissen Infotech
Website:
wissen.com
Job details:
Wissen Technology is Hiring for Python + OOPS Developer
About Wissen Technology:
At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.
Job Summary: We are seeking an experienced Python + OOPS Developer capable of designing, engineering, and delivering scalable enterprise solutions within the banking and financial domain. The ideal candidate will be a hands-on developer with strong expertise in Python, object‑oriented design, data processing, and distributed computing. This role involves end‑to‑end development, performance optimization, workflow orchestration, and collaboration across business and technology teams.
Experience: 3- 7 Years
Location: Mumbai, Pune, Bangalore
Mode of Work: Full time
Key Responsibilities:
- Design and implement modular, reusable Python components for index construction, rebalancing, and backtesting
- Run large‑scale historical simulations using Pandas, NumPy, and PySpark
- Integrate compute engines with Airflow/Temporal using configuration-driven workflows
- Query and consume reference data (pricing, security master, corporate actions) from Snowflake
- Build automated test harnesses to validate outputs and ensure reproducibility
- Optimize performance using vectorization, caching, and distributed computing patterns
- Ensure data and calculation reconciliation against benchmarks
- Collaborate with Business, Index Operations, and Platform teams to move research into production
- Follow best practices in code quality, architecture, testing, and deployment
- Contribute to design discussions and technical decision-making
Requirements:
- Python Expertise: Strong proficiency in OOP, clean architecture, maintainable application design
- Pandas & NumPy: Deep experience in numerical computing and time-series analysis
- PySpark: Working knowledge for distributed data processing
- Financial Computation: Understanding of portfolio mathematics, weighting algorithms, and time-series transformations
- Config-Driven Systems: Experience building rules-based or metadata-driven frameworks
- SQL & Snowflake: Strong SQL skills and ability to consume structured data from Snowflake
- Testing Discipline: Expertise in unit testing, regression testing, deterministic replay
- Workflow Orchestration: Familiarity with Airflow, Temporal, or similar orchestration frameworks
- Cloud (AWS): Good understanding of S3, Lambda, IAM, and integration with Snowflake Data Cloud
Good To Have Skills:
- Experience with Docker, containerization, or Kubernetes
- Knowledge of CI/CD pipelines for Python applications
- Familiarity with event-driven architectures (Kafka, EventBridge)
- Experience working in BFSI / financial index domain
- Understanding of compute optimization using multiprocessing or Ray
- Exposure to data governance, lineage, and metadata management tools
Wissen Sites:
Website: www.wissen.com
LinkedIn: https://www.linkedin.com/company/wissen-technology
Wissen Leadership: https://www.wissen.com/company/leadership-team/
Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
Wissen Thought Leadership: https://www.wissen.com/articles/
Click on Apply to know more.