Quantitative Researcher

ABOUT CLIENT

Our client is a global investment firm

JOB DESCRIPTION

The role is pivotal in researching new alphas through data application in financial markets. Researchers use tested processes to discover high-quality predictive signals. These signals are mathematical expressions of data utilized in quantitative models.
Seeking an exceptional individual to fill the position of Quantitative Researcher. The ideal candidate should have a strong understanding of investment research to develop computer-based models predicting global financial market movements. While prior finance experience is not mandatory, candidates should possess a keen interest in learning about finance and global markets. A research scientist mindset, self-starting nature, creativity, and perseverance in problem-solving are preferred attributes.

JOB REQUIREMENT

Ph.D. or M.S. degree in a quantitative or highly analytical field
Attained a high ranking in the bachelor's degree class
Proficient in C/C++ programming on a Unix/Linux platform
Strong problem-solving skills and attention to detail
Collaborative and team-oriented mindset
Excellent English language skills
Possession of an international or regional Mathematical Olympiad medal is advantageous

WHAT'S ON OFFER

Competitive and appealing compensation package with a clear career progression
Emphasis on continuous learning and development through training courses, library access, speaker sessions, and knowledge sharing events
Opportunity to collaborate with intelligent and talented colleagues
Support for diversity and inclusion through employee resource groups
Premium health insurance and Employee Assistance Program
Generous time-off policy and sabbatical leave based on tenure
Employee benefits through Trade Union for staff and family
Monthly team-building activities and employee clubs for various interests
Annual company trip and occasional global conferences to connect with global teams
Daily tea break, snacks, and meals provided in the office

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Data, C/C++

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Onsite

Salary:

Negotiation

Job ID:

J00438

Status:

Close

Related Job:

NLP Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • Data Engineering
  • Python
  • NLP

NLP Data Engineer will design, implement and monitor complex data pipelines from multiple sources coming in variety of formats and latencies. You will collaborate with data, technology and research teams to develop and test robust data onboarding and ETL systems directly consumed by quantitative investment strategies.

Negotiation

View details

OSS Software Engineer

Ho Chi Minh - Viet Nam


Product

  • C/C++

Collaborate with a small team of engineers to: Develop software primarily using C language Perform thorough software testing Deliver projects in phased releases Offer customer support for live operations Coordinate software development and support activities with the manager and the core development team based in California, USA

Negotiation

View details

Senior Data Engineer

Ho Chi Minh - Viet Nam


Product

  • Data Engineering

Designing and implementing scalable data architectures aligned with business objectives Building and maintaining data pipelines for ingestion, transformation, and delivery using modern orchestration tools Architecting data solutions across data warehousing, data lakes, and real-time analytics Creating and maintaining data models and documenting the enterprise data landscape Building and maintaining data infrastructure supporting ML model training, deployment, and monitoring Designing and implementing vector database solutions for AI-powered features Developing data pipelines for AI-driven capabilities and ensuring global scalability Implementing DataOps practices to ensure data quality, lineage, and governance Defining and enforcing data strategy and architectural principles Building monitoring and alerting for pipeline health, data quality, and SLA compliance Optimizing query performance and cost efficiency Collaborating with product and engineering teams to translate business requirements into data solutions Driving adoption of modern data practices across the organization Contributing to architectural reviews and technical decision-making Taking ownership of data problems through to resolution

Negotiation

View details