Key Responsibilities :

1. Quantitative Development :

- Design, develop, and maintain quantitative models and analytics solutions.

- Build high-performance data processing applications using Python and KDB.

- Develop scalable solutions for financial data analysis and reporting.

- Optimize existing quantitative applications for performance and reliability.

2. Data Engineering :

- Develop and optimize SQL queries for large financial datasets.

- Build and maintain robust data pipelines.

- Work with structured and time-series data for quantitative analysis.

- Ensure data quality, consistency, and governance.

3. Financial Analytics :

- Support quantitative research and model implementation.

- Develop tools for portfolio analysis, trading analytics, and risk reporting.

- Collaborate with business stakeholders to understand financial requirements.

4. Collaboration :

- Work closely with Quant Analysts, Data Engineers, and Product Teams.

- Participate in Agile/Scrum ceremonies including sprint planning and retrospectives.

- Contribute to solution design and technical architecture discussions.

Required Skills :

1. Programming :

- Python

- SQL

- KDB / kdb+

2. Methodologies :

- Agile

- Scrum

3. Financial Domain :

- Quantitative Development

- Financial Services

- Capital Markets (Preferred)

- Hedge Fund Experience (Preferred)

Preferred Skills :

- Databricks

- Microsoft Fabric

- PySpark

- TensorFlow

- C / C++

- MongoDB

- Arctic Database

- Dashboarding & Data Visualization Tools

- Data Management Platforms

Desired Candidate Profile :

- 610 years of experience in Quantitative Development or Financial Technology.

- Strong expertise in Python, SQL, and KDB.

- Experience working in Agile/Scrum project environments.

- Strong analytical and problem-solving skills.

- Excellent communication and stakeholder management skills.

- Experience in hedge funds or financial services is highly desirable.

Education :

- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Finance, Statistics, or a related field.

Key Skills :

- Python, SQL, KDB, Quant Development, Financial Services, Agile, Scrum, Databricks, Microsoft Fabric, PySpark, TensorFlow, C++, MongoDB, Arctic, Dashboarding, Data Engineering, Capital Markets