Sr. Full Stack Developer for Fintech

In this role, you will contribute to the following areas of work:

• **Web Application Development:**
• Develop, test, and maintain scalable and robust full-stack applications using React.js, Python, Restful API, PostgreSQL.
• Build and optimize front-end user interfaces for performance and seamless user experience.
• Design and implement server-side logic and APIs, ensuring efficiency and security.
• **Data Analysis and Product Development:**
• Scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling, and data technologies.
• Develop predictive models for cash flow forecasting and optimization.
• Create risk assessment models for lending decisions and credit scoring.
• Design and implement anomaly detection systems for fraud prevention in financial transactions.
• **Machine Learning and AI:**
• Build models, algorithms, simulations, and performance evaluation using state-of-the-art machine learning technologies.
• Apply NLP techniques for mining knowledge from public and enterprise-proprietary data to derive insights.
• Develop and serve models with PyTorch / TensorFlow for deep learning research.
• Implement reinforcement learning algorithms for automated cash management strategies.
• **Financial Technology Integration:**
• Develop algorithms for real-time transaction categorization and financial pattern recognition.
• Create models for personalized financial advice and product recommendations.
• Implement time series analysis techniques for financial trend prediction and seasonality detection.
• Design and develop APIs for integrating machine learning models with financial systems.
• **Data Engineering and MLOps:**
• Build solutions for data discovery, acquisition, processing & cleaning, integration & storage, and interpretation.
• Define and manage the process of production using machine learning models through MLOps pipelines.
• Implement data pipelines for ingesting and processing financial data from various sources.
• **Stakeholder Collaboration and Business Impact:**
• Translate business requirements into tangible solution specifications and high-quality deliverables.
• Work with stakeholders to analyze & solve business problems using Machine Learning & Artificial Intelligence capabilities.
• Collaborate with UX/UI teams to integrate data-driven insights into user-friendly app features.
• Provide data-driven recommendations for product development and business strategy.
• **Continuous Learning and Innovation:**
• Stay abreast of industry trends, innovations, and developments in AI/ML.
• Contribute to the development of innovative fintech products and features.

**Desired Skills / Expertise:**

• 3-5 years of experience in full stack development.
• Excellent communication skills with a desire to work in multidisciplinary teams.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Strong experience and mathematical understanding in Natural Language Understanding, Computer Vision, Machine Learning, and Optimization.
• Proven track record in effectively building and deploying ML systems.
• Expertise in modular, typed, and object-oriented Python programming.
• Proficiency with core data science languages and familiarity with data systems.
• Experience with financial data analysis, time series forecasting, and risk modeling.
• Knowledge of financial regulations and compliance requirements in the fintech industry.
• Familiarity with cloud platforms and containerization technologies.
• Understanding of blockchain technology and its applications in fintech.
• Experience with real-time data processing and streaming analytics.

In terms of **Educational Qualifications**, a Bachelor's / Master's / Ph.D. in Computer Science, Data Science, Financial Engineering, or related technical fields from tier 1 or tier 2 college is required. Relevant certifications in data science, machine learning, or financial technology are a plus. In this role, you will contribute to the following areas of work:

• **Web Application Development:**
• Develop, test, and maintain scalable and robust full-stack applications using React.js, Python, Restful API, PostgreSQL.
• Build and optimize front-end user interfaces for performance and seamless user experience.
• Design and implement server-side logic and APIs, ensuring efficiency and security.
• **Data Analysis and Product Development:**
• Scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling, and data technologies.
• Develop predictive models for cash flow forecasting and optimization.
• Create risk assessment models for lending decisions and credit scoring.
• Design and implement anomaly detection systems for fraud prevention in financial transactions.
• **Machine Learning and AI:**
• Build models, algorithms, simulations, and performance evaluation using state-of-the-art machine learning techn