Data

A Leading Financial institutions - Remote!

We are seeking a talented individual to join our team as a Senior Data Scientist specializing in predictive analysis and machine learning algorithms within the financial sector. As a Senior Data Scientist, you will play a crucial role in the development and optimization of algorithmic trading systems, leveraging your expertise in equity, derivatives, and FX trading analysis.

**Key Responsibilities**

- Develop cutting-edge systems for predictive analysis and machine learning algorithms.

- Manage the entire lifecycle of algorithm creation, from design and modeling to validation and ongoing optimization.

- Extract and mine valuable data from diverse sources to drive insights and inform decision-making.

- Utilize machine learning tools to select features, build classifiers, and optimize trading models.

- Pre-process both structured and unstructured data to ensure suitability for analysis.

- Enhance data collection procedures to encompass all necessary information for analytical system development.

- Ensure data quality through meticulous processing, cleansing, and validation techniques.

- Analyze large datasets to uncover patterns, trends, and anomalies, deriving actionable solutions.

- Collaborate with the development team to prepare datasets, enhance trading models, and evaluate performance.

- Formulate innovative solutions and strategies to address complex business challenges.

Position: Senior Data Engineer (Hedge Fund Domain)

Location: Singapore

Company Overview:

Our client is a leading hedge fund  e.g., quantitative trading, algorithmic strategies, etc. With a strong track record of success and a dedication to innovation in APAC region.

Job Description:

As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining our data infrastructure to support our quantitative research and trading activities. You will collaborate closely with quantitative analysts, traders, and other stakeholders to build scalable and efficient data pipelines, integrate diverse datasets, and optimize data workflows. This role offers a unique opportunity to work on cutting-edge technologies and contribute directly to the success of our investment strategies.

Responsibilities:

- Design, develop, and maintain robust data pipelines to ingest, process, and analyze large volumes of financial data from diverse sources.

- Collaborate with quantitative analysts and traders to understand data requirements and implement solutions to support research and trading strategies.

- Optimize data storage and retrieval mechanisms to ensure high performance and scalability.

- Implement data quality checks and monitoring processes to ensure the integrity and reliability of data.

- Work closely with cross-functional teams to integrate new datasets and technologies into existing infrastructure.

- Stay current with industry trends and best practices in data engineering and technology.