Zensar is Hiring - Quantitative Analyst (Immediate Joiner Only )

Exp : 3-5 Years Only

Description

Key Responsibilities

1. Quantitative Model Design & Development

- Architect and develop financial models for pricing, risk, and trading strategies
- Design frameworks for derivatives pricing, portfolio optimization, and risk analytics
- Ensure models are scalable, reusable, and production-ready

2. Architecture & Platform Development

- Define and drive end-to-end architecture for quant platforms
- Build high-performance systems using Python/C++/Java
- Integrate models with data pipelines, APIs, and cloud platforms (AWS/Azure/GCP)

3. Risk & Analytics Solutions

- Develop solutions for market risk, credit risk, liquidity risk, and PnL attribution
- Architect real-time and batch analytics systems for large datasets
- Ensure compliance with regulatory frameworks (Basel III, IFRS9, etc.)

4. Collaboration & Stakeholder Management

- Work closely with quants, traders, risk teams, and data engineers
- Translate business requirements into technical and analytical solutions
- Provide technical leadership and mentoring to quant developers

5. Performance Optimization & Governance

- Optimize model performance and computational efficiency
- Implement validation frameworks, backtesting, and model governance
- Ensure code quality, maintainability, and version control

Responsibilities

Mandatory Skills

Quantitative & Financial Expertise

- Strong knowledge of:
- Derivatives pricing (Black-Scholes,



Monte Carlo, etc.)
- Fixed income, equities, FX, and structured products
- Risk frameworks (VaR, CVA, stress testing)

Technical Skills

- Programming: Python (Must), C++/Java (Preferred)
- Libraries: NumPy, Pandas, SciPy, TensorFlow (good to have)
- Experience with big data tools (Spark, Hadoop)
- Database knowledge: SQL, NoSQL

Data & Architecture

- Experience designing data-driven architectures and APIs
- Hands-on with cloud platforms (AWS/Azure/GCP)
- Familiar with microservices architecture

Good-to-Have Skills

- Exposure to AI/ML in quantitative finance
- Knowledge of Databricks, Snowflake, or similar platforms
- Experience with real-time streaming (Kafka, Flink)
- Certification like FRM, CFA, CQF

Experience & Qualifications

- Education: Bachelors/Masters/PhD in Mathematics, Finance, Engineering, or related field
- Experience: 3-5 Years in quantitative development/architecture
- Solid experience in financial services (Banking, Capital Markets, Hedge Funds)

Qualifications

Key Competencies

- Strong analytical and problem-solving skills
- Ability to simplify complex financial concepts
- Leadership and stakeholder management
- High attention to detail and accuracy

Typical Use Cases Delivered

- Pricing engines for derivatives
- Risk analytics platforms (VaR dashboards, stress testing tools)
- Algorithmic trading systems
- Portfolio optimization frameworks Role & responsibilities

📌 Quantitative Analyst (Hyderabad)
🏢 Zensar
📍 Hyderabad