Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

About WorldQuant BRAIN:

BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more.

• 2+ years demonstrated experience developing scalable and robust software.
• Passion about software engineering, be strongly driven to build and run real-world applications at scale.
• Eagerness to learn and introduce new technologies. Be curious about what's happening in the tech world.
• Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas and Asyncio. Expertise in Python web frameworks such as Django, DRF, Flask or others.
• Experience with SQL databases (MySQL, PostgreSQL), including schema design, query optimisation and migrations.
• Experience with microservices, caching tools, data visualization, log collection and aggregation, search, queuing systems.
• Experience with Linux environment and shell scripting.
• Excellent debugging and problem solving skills.

What We 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
• 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, 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!
  
  #LI-VP1

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. 

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Research Intern. The person must have a good understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. This position is responsible for assisting with daily research and analysis tasks – which includes scripting for monitoring and alpha signal analysis. Candidates need not have prior knowledge of financial markets, but must have a strong interest in learning about stock markets and other capital markets. Successful candidates will self-starters, have a research scientist mind-set, and be creative and persevering deep thinkers who are motivated by unsolved challenges. Our highly accomplished senior staff will provide the interns with mentoring and guidance to help them succeed.

What You’ll Bring:

• Candidates holding or pursuing a BS (Hons), MS or PhD in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Data Science or Mathematics are strongly preferred
• Exceptional candidates without an advanced degree will also be considered. Prior quant analysis or trading experience is a benefit.
• Programming skills is a must (Python/ C++/Java)
• Have deep learning, LLM, NLP or prompt engineering course work or experience is a plus
• Participated in national and international mathematics or programming competitions (preferred)

What We Offer:

• 6-month learning and development path – challenge your intellectual mind
• Competitive compensation package with clear career road-map – opportunities to transition to a full-time role
• Online Medical support
• Team building activities every month – employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Happy-hour with tea break, snacks and meals every day!

#LI-NV1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We're seeking a Senior Site Reliability Engineer to join the team. You will build and operate the infrastructure and tooling behind WorldQuant's data ingestion pipelines — systems that onboard, validate, and deliver large-scale datasets to the firm's research platform. This is a 70% build / 30% operate role. You'll spend most of your time engineering automation, observability, and developer tooling, while also participating in on-call rotations and incident response for production data pipelines. You'll partner with engineering, analyst, and research teams to ensure reliability at scale — this requires excellent analytical skills, clear communication, and the ability to collaborate across teams.

What You'll Do:

Build (70%):

• Design and develop automation, monitoring, CI/CD, and reliability features for the data onboarding pipeline
• Develop and maintain internal infrastructure and services that reduce toil and improve pipeline reliability
• Build observability solutions — dashboards, alerting, log aggregation — using Grafana, the ELK stack, and Vector
• Design and implement CI/CD pipelines, test automation, and release management workflowsWrite infrastructure-as-code for provisioning, scaling, and managing platform components: Kubernetes, bare metal hosts
• Integrate and extend tools such as Redis, Celery, MySQL

Operate (30%): Keep production data pipelines healthy and respond to incidents

• Participate in on-call rotation, respond to production incidents, and drive post-mortems
• Define and track SLOs/SLIs for pipeline reliability, latency, and data freshness
• Diagnose platform performance and reliability issues, driving them to root cause
• Create and maintain runbooks for common operational scenarios
• Plan capacity and optimize resource utilization

What You'll Bring

• 8+ years of experience in SRE, DevOps, or platform engineering roles
• Linux expertise: Power user proficiency in Linux with ability to manage infrastructure, deploy services, and troubleshoot production systems
• Python proficiency: Strong scripting and automation skills; experience building CLI tools, API clients, monitoring integrations, and operational tooling in Python
• Kubernetes & containers: Deep hands-on experience with Kubernetes — deploying, scaling, debugging, and managing production workloads. Familiarity with Helm, resource management. Solid experience with Docker
• Observability: Hands-on experience with monitoring stacks — Grafana, Prometheus, ELK (Elasticsearch, Logstash, Kibana), or similar. Experience designing dashboards, alerts, and SLO-based reliability tracking
• CI/CD & infrastructure-as-code: Experience designing and maintaining CI/CD pipelines (GitLab CI, or similar), including test automation and release management. Familiarity with Ansible or similar IaC tools
• Databases: Working knowledge of relational databases (MySQL/PostgreSQL), query tuning, and operational database management
• Message queues & streaming: Experience with Kafka, Redis pub/sub, or Celery for event-driven architectures
• Networking & APIs: Understanding of network fundamentals, DNS, load balancing, and REST/gRPC APIs
• Incident management: Experience with on-call rotations, incident response, post-mortems, and runbook-driven operations
• Leadership & management: Proven track record of leading a team — mentoring engineers, driving technical roadmaps, coordinating cross-team initiatives, and managing priorities. Comfortable owning team delivery and representing the team to stakeholders
• AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development and operations workflow — treating AI as a force multiplier for automation, incident analysis, and toil reduction
• Nice to Have:
  • Cloud platforms: Exposure to GCP or AWS for compute, storage, and managed services
  • Data tools: Familiarity with Apache Arrow, gRPC, or columnar data formats
  • Big data platforms: Familiarity with Hadoop or Apache Spark for large-scale data processing
  • Programming languages: C/C++, Golang, Scala, JavaScript
  • Financial services or data-intensive industry background
  • SRE culture: Familiarity with Google's SRE book principles — error budgets, toil tracking, blameless post-mortems

What We 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
• 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, 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!

#LI-QM1

Carbon Data Analyst

Company Introduction

Our mission is to enable every organization to be climate conscious and positive with the world’s best climate software and data products. Persefoni is creating an all-in-one platform that allows organizations to measure, analyze, and reduce their Enterprise Carbon Footprint. 

Our goal is to provide our customers unprecedented visibility and insights into the impact their organization has on the environment. Leveraging the latest breakthroughs in data science and software, our technology will empower teams and leaders to mobilize their organizations to continuously improve their greenhouse gas emissions metrics. 

About The Role (What you will get to do)

As a Carbon Data Analyst, you will be responsible for reviewing data from multiple data sources, communicating with Persefoni users via online chat to fill data gaps, and interfacing directly with the Persefoni platform. You will advance Persefoni’s mission to democratize carbon accounting and help simplify the process for users so that they can receive accurate, timely, and actionable carbon footprint data. 

Responsibilities (What we expect)

• Understand and become a subject matter expert on the Persefoni platform and be able to troubleshoot any errors. 
• Communicate clearly with clients on data gaps and obstacles in the carbon footprinting process.
• Transform data in excel to adapt to necessary requirements.
• Collaborate closely with the Persefoni’s internal carbon accounting experts. 
• Develop an understanding of different carbon accounting calculation methodologies and input data types. 
• Optimize processes to become more efficient with time. 
• Support time zones of Persefoni global customers (USA, Europe, Japan, Singapore, etc.)

Qualifications (What you bring to the role)

• High level of excel proficiency. 
• Excellent verbal and written communication skills, with a high proficiency in English and a high degree of attention to detail.
• Project management experience and ability to meet deadlines. 
• Capable of successfully working multiple projects simultaneously.
• Experience in gathering, formatting, and visually representing data.
• Proven ability to work cross functionally with technical and non-technical roles.
• Growth mindset and eagerness to learn quickly.
• Carbon accounting experience is preferred but not required.

How You'll Know You’re on the Right Track

• Within your first two weeks, you will learn how to use the Persefoni platform and receive intensive training on the types of input data needed to perform calculations.
• By thirty days, you will be interfacing directly with clients via online chat and supporting them with their carbon footprinting. 
• Within your first 90 days, you will begin to optimize the process and increase efficiency for supporting more clients. 

Job Type:

Full-time position located in Vietnam governed by Vietnam labour regulations, with the Persefoni entity being established in Vietnam.   

Interview Process

• Step 1: Submit application 
• Step 2: Interview with Vietnam-based Customer Solutions team leader/s
• Step 2: Interview with Director, Climate Solutions
• Step 3: Final interview with VP, Climate Solutions
• Step 4: Offer extended
• Step 5: Background check and onboarding