
Python API Developer
1 week ago
Position: Python API Developer (AI + Finance Domain)
Domain: Finance (Banking, Investments, Risk & Compliance)
Location: Remote
Type: Full-time
Role Overview
We are seeking a highly skilled Python API Developer with strong expertise in building scalable, secure APIs, along with AI/ML knowledge and finance domain experience.
The ideal candidate will design, develop, and optimize API-driven systems that integrate financial data platforms with AI-powered analytics and decisioning engines.
You will collaborate with AI engineers, data scientists, and finance SMEs to deliver
intelligent, high-performance solutions for trading, risk management, fraud detection,
regulatory compliance, and financial reporting.
Key Responsibilities
- API Development
- Design, build, and maintain RESTful & GraphQL APIs using Python (FastAPI,
Flask, Django REST).
- Ensure scalability, low-latency, and secure API communication for financial
applications.
- Implement authentication/authorization frameworks (OAuth2, JWT, SSO).
- AI & Data Integration
- Integrate APIs with AI/ML models (predictive risk models, fraud detection,
portfolio optimization).
- Work with data pipelines (ETL/ELT) to consume structured/unstructured
financial data.
- Enable real-time scoring/inference APIs for AI models.
- Finance Domain Use Cases
- Collaborate with finance SMEs to implement APIs for risk assessment,
compliance reporting, fraud detection, and predictive analytics.
- Build API endpoints that interface with market data providers, trading
systems, and regulatory platforms.
- DevOps & Security
- Implement API monitoring, logging, and performance optimization.
- Ensure compliance with financial data security standards (e.g., SOC2, PCI
DSS, GDPR).
- Automate CI/CD workflows for API deployment in cloud environments (AWS,
Azure, GCP).
- Collaboration
- Partner with data scientists to operationalize AI/ML models.
- Work closely with finance stakeholders to translate requirements into
technical solutions.
- Mentor junior developers on best practices for Python API and AI integration.
Required Skills & Experience
Core Technical
- Strong expertise in Python and modern API frameworks (FastAPI, Flask, Django
REST).
- Experience with API lifecycle management, performance tuning, and versioning.
- Knowledge of databases (Postgres, MySQL, MongoDB, Redis) and ORMs
(SQLAlchemy, Django ORM).
- Familiarity with message brokers & streaming (Kafka, RabbitMQ).
- AI/ML Knowledge
- Understanding of ML model deployment (scikit-learn, TensorFlow, PyTorch).
- Knowledge of AI integration patterns (batch inference, real-time APIs, vector
databases).
- Exposure to NLP in finance (sentiment analysis, document intelligence, chatbots).
- Git/GitHub, CI/CD pipelines, Agile/Scrum methodology.
- Strong problem-solving and system design skills.
- Experience with cloud environments (AWS, Azure, GCP) and containerization
(Docker, Kubernetes).
Finance Domain
- Experience with financial datasets (trades, positions, risk, compliance, payments).
- Understanding of capital markets, investment banking, or fintech systems.
- Familiarity with risk models (VaR, credit risk, fraud detection) and regulatory
frameworks (Basel III, MiFID, AML/KYC).
- Financial model building
Preferred Qualifications
- Prior experience building AI-powered financial products (fraud detection,
algorithmic trading, robo-advisors).
- Exposure to LLM-based APIs (OpenAI, Hugging Face, LangChain) for finance
applications.
- Contributions to open-source projects or AI/FinTech communities.
- Bachelors or Master's degree in Computer Science, Data Science, or Financial
Engineering.
Job Types: Full-time, Permanent, Contractual / Temporary
Contract length: 24 months
Pay: ₹700, ₹1,000,000.00 per year
Experience:
- Python API Developer: 4 years (Required)
- Finance Domain: 4 years (Required)
Work Location: Remote
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