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Zensar Technologies

DE&A - Core - Big Data Engineering - Hadoop Ecosystem

8-15 Years
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Job Description

Key Responsibilities

JOB DESCRIPTION

  • 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
  • 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)
  • 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.)
  • 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
  • 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: Bachelor's/Master's/PhD in Mathematics, Finance, Engineering, or related field
  • Experience: 8–15 years in quantitative development/architecture
  • Strong 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

About Us

At Zensar, we're experience-led everything. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we're a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

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About Company

Job ID: 151138033