BRAIN Researcher (Bahasa-speaking)

JOB DESCRIPTION

Research
Create and develop Alphas and other utilization algorithms on BRAIN
Conduct research on academic quantitative finance literature
Identify and design new research domains. Generate ideas to grow the domain
Platform development
Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team
Design and test new functionalities and datasets on the BRAIN platform.
Business Development and Consultant Engagement
Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance & implement BRAIN business strategy for user and consultant acquisition
Conduct training sessions for BRAIN users and consultants
Prepare and update training curriculum of BRAIN

JOB REQUIREMENT

Familiarity and competence in using BRAIN, ex-VRC Research Consultant, or BRAIN Research Consultant preferred
Possess or expect a Bachelor's degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university
Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL
Server); knowledge of UNIX preferred
Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges
Have a strong interest in learning about worldwide financial markets
Possess good communication and presentation skills in English

WHAT'S ON OFFER

Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
Employee resources groups with strong diversity and inclusion culture
Premium Health Insurance and Employee Assistance Program
Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
Happy-hour with tea break, snacks and meals every day 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:

Offshore

Technical Skills:

Data, C/C++

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01360

Status:

Close

Related Job:

Engineering Manager (Data Platform)

Ho Chi Minh - Viet Nam


Offshore

  • Data Engineering
  • Management

This role focused on data engineering teams with data warehousing, streaming and batch patterns, CI/CD for data pipelines, Drive and coach Agile teams to deliver on engineering standards, sprint backlogs and plans, engineers' responsibilities and performance management, code quality, adherence to development guardrails, and testing; Drive Agile delivery across data platforms, ensuring high standards for; Data quality and testing, Code quality and review practices, CI/CD for data pipelines, Documentation and operational readiness Collaborate closely with data architects, product managers, analytics teams, platform teams, and governance stakeholders to deliver data capabilities aligned with business priorities Own the execution of the data engineering roadmap, balancing short-term delivery with long-term platform sustainability Contribute to data platform architecture and design, including ingestion, transformation, storage, and consumption layers Coach engineers to be T-shaped, capable of working across batch, streaming, analytics engineering, and platform concerns Own and prioritise the remediation of technical and data debt, including legacy pipelines, performance issues, and data quality gaps Stay current with modern data engineering tools, patterns, and methodologies, particularly within the Databricks ecosystem Be accountable for the full lifecycle of data solutions, from design through build, deployment, monitoring, and support Empower teams to be self-sufficient, disciplined, and accountable for the reliability of data products Lead initiatives to improve data delivery processes, including automation, observability, and operational excellence Motivate teams to continuously improve through innovation, experimentation, and continuous delivery Drive career development and progression for data engineers, partnering with HR on performance management and growth paths

Negotiation

View details

Product Manager (Data & Models)

Ho Chi Minh - Viet Nam


Product

  • Product Management
  • AI

Designing data strategy and model integration for creating efficient data pipelines, evaluation frameworks, and annotation systems to maintain high-performance LLMs. Responsible for ensuring data quality standards and implementing bias mitigation and privacy-preserving techniques. Defining the product's core model roadmaps, taking into account technical feasibility, user needs, and ethical considerations. Collaboration with researchers to incorporate experimental breakthroughs into deployable features. Partnering with Engineering and Research teams to ensure model development aligns with product goals and advocating for transparency in model decision-making to build user trust. Analyzing usage patterns from open-source communities (Discord, Reddit, GitHub) to refine model behavior and address real-world edge cases, contributing to community-driven model evolution. Setting performance benchmarks, cost efficiency, and resource utilization standards for model scalability and reliability.

Negotiation

View details

Senior Data Analyst, Anti-spoofing Operation

Ho Chi Minh - Viet Nam


Product

  • Data Analyst
  • Data Engineering

Lead and develop analytical initiatives to address fraud detection challenges, from problem definition through implementation, monitoring, and continuous optimization. Spearhead strategic efforts to combat emerging fraud patterns and develop innovative detection approaches through data analysis, testing, and impact measurement. Design and implement production-grade data pipelines, automated workflows, and advanced analytical frameworks using statistical methods, machine learning, and geospatial analysis. Conduct in-depth analyses of complex fraud operations and develop behavioral analytics systems. Translate technical findings into actionable recommendations for leadership, product teams, and engineering. Lead compliance analytics initiatives and define evaluation metrics for new features. Provide technical guidance and mentorship, establish best practices, and contribute to hiring top talent in analytics.

Negotiation

View details