Software Engineer - QM/QE

ABOUT CLIENT

Our client is a global investment firm

JOB DESCRIPTION

Create and construct data pipelines and the data layer.
Maintain and develop the computational frameworks and infrastructure for running quantitative strategies at scale.
Enhance and implement quant-related software systems for data, research, portfolio construction, and trading.
Collaborate closely with Researchers and Quants as an engineering partner, assisting in transforming ideas into robust production solutions.
Gain insight into the complete lifecycle of the systematic/quant business, from data ingestion through research and implementation.

JOB REQUIREMENT

Technical or quantitative degree from a top-tier institution
3 to 8 years of software engineering experience
Proficiency in Python (preferred) or C++ on Linux/Unix platforms, and familiarity with scripting languages
Experience with code version control, Continuous Integration and Deployment
Strong verbal and written communication skills
Excellent problem-solving abilities and attention to detail
Collaborative and team-oriented
Motivated by technology-at-scale
Knowledge of AI technologies like LLMs and agentic AI is beneficial
Finance experience is a plus, but not required

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:

Python, C/C++

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Onsite

Job ID:

J00444

Status:

Active

Related Job:

Salesforce Engineer (IC2)

Ho Chi Minh - Viet Nam


Outsource

  • Salesforce

#Salesforce Engineering (Quote-to-Cash) Build and maintain Salesforce processes from Quote through to Cash Work full-stack on the platform: declarative (data model, Flows, validation, security model) and programmatic (Apex, Lightning Web Components) Implement changes safely on a production system used by Go-to-Market every day#Integrations & System Interfaces Maintain and further develop the integrations between Salesforce and internal/external systems (customer portal, HubSpot, license management, billing/ERP, and others) Design and operate integrations using Salesforce REST/SOAP APIs and standard integration patterns Own the health of these interfaces: monitoring, error handling, and data consistency#Collaboration with Go-to-Market / RevOps Partner with RevOps and GTM to translate business needs into robust technical implementations Challenge requirements where they create risk or technical debt Coordinate handoffs at the Lead-to-Quote / Quote-to-Cash boundary#Reliability, Security & Change Safety Protect a revenue-critical system: change control, testing, backup/rollback awareness Apply JTL security and compliance standards to Salesforce work#Optional / stretch With spare capacity, support tech-heavy Lead-to-Quote topics in Salesforce (optional; primary ownership of Lead-to-Quote stays with RevOps)

Negotiation

View details

Senior Bioinformatics Engineer

Ho Chi Minh - Viet Nam


Product

  • Data Science

Serve as the primary bioinformatics subject matter expert for engineering teams developing cloud-native bioinformatics software. Collaborate with software architects to translate scientific workflows into scalable distributed computing architectures. Help engineers understand the computational characteristics, assumptions, and limitations of existing bioinformatics tools. Validate that modernized applications preserve scientific correctness and produce reproducible results. Define biological data models, metadata standards, controlled vocabularies, and best practices for data harmonization. Guide engineering teams in designing scalable approaches for processing large genomic and multi-omics datasets. Evaluate open-source bioinformatics software (e.g. PLINK, Regenie, BCFtools, GATK, Nextflow workflows, etc.) and identify opportunities for cloud-native modernization. Work with distributed computing specialists to determine how algorithms can be parallelized using Spark and other large-scale execution frameworks. Develop validation datasets, benchmarking methodologies, and acceptance criteria for transformed applications. Review engineering designs to ensure biological accuracy and scientific integrity. Collaborate with AI engineering teams on using AI-assisted software transformation while ensuring scientific correctness. Stay current with advances in bioinformatics, computational biology, distributed computing, and cloud-based scientific software.

Negotiation

View details

Senior Software Engineer (Distributed Computing)

Ho Chi Minh - Viet Nam


Product

  • Python
  • AWS
  • Spark

Design and provide input on system architectures, contribute to coding standards, and mentor junior engineers. Work with various teams to ensure software solutions meet business requirements, international standards, and objectives. Tackle complex software development and integration challenges, optimizing system performance. Create high-quality Python code and integrate diverse software components into cohesive solutions, with a focus on cloud computing and life sciences applications. Keep up-to-date with new technologies and Python frameworks, particularly in cloud computing. Oversee testing, deployment, and comprehensive documentation of integrated systems. Actively participate in all phases of the software development lifecycle. This includes creating user stories and engaging in sprint planning to align development efforts with business objectives. Engage with multinational companies, demonstrating flexibility to occasionally adapt to US and EU time zones.

Negotiation

View details