Quants Head – Finance Business Conviction HR

The Corporate Institute; India; Presencial; INR 1.200.000 - 2.400.000; Jornada completa

Descripción de la vacante

The Corporate Institute in Mumbai and Bangalore is seeking a quantitative researcher to develop models for algorithmic execution strategies across single stocks and portfolios.

You will work on market microstructure, order routing, and analytics, using Python and C++ in substantial projects, with emphasis on rigorous testing and collaboration.

Formación

• Experience with high frequency data and ML models.
• Experience in pre/post trade analytics for execution algorithms.
• Strong problem-solving and research skills.

Responsabilidades

• Develop mathematical models for algorithmic execution strategies.
• Design state-of-the-art models for limit orders and order routing.
• Develop tools to analyze order flow and improve execution performance.
• Conduct market microstructure research and produce white papers.

Conocimientos

Python

C++

Machine learning

Quantitative modeling

Statistics

Herramientas

q/kdb

Descripción del empleo

Location: Mumbai, Bangalore

Mode: Work from office

Job Responsibilities:

• Developing mathematical models for algorithmic execution strategies, both for single stock and portfolios
• Designing state‑of‑the‑art models for limit order placement, and order routing between venues
• Developing quantitative tools to analyze order flow and suggesting methods for improving execution performance
• Carrying out market microstructure research and writing white papers

Required Qualifications, Skills and Capabilities:

You should have prior experience in one or more of the following:

• 1. Handling high frequency data/big data and developing statistical and/or machine learning models on the same
• 2. Pre/post trade analytics (including market microstructure research) for execution algorithms
• 3. Short term price predictive, alpha and portfolio optimization models
• You demonstrate quantitative and problem‑solving skills as well as research skills
• You are keen to explore new research in algorithmic trading and assess its applicability to business problems
• You bring computer programming experience such as use of Python and/or C++ in a substantial project in an academic/commercial environment
• You are enthusiastic about knowledge sharing and collaboration
• Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders

Preferred Qualifications, Skills and Capabilities:

• Prior experience in q/kdb programming
• Orientation towards careful system and solution design and implementation
• Robust testing and verification practices
• Familiarity with LLM-based productivity tools and features

Contact:
Prachi Rasal, 9137403200