Data Scientist

JOB DESCRIPTION

The Role: Our Client is seeking an exceptional individual to join the firm as a Data Scientist. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. The role includes but not limited to these responsibilities:
Build mathematical, algorithmic, computer-driven models of financial markets
Conduct data feature engineering skills on unique and large datasets
Apply statistical models and analyzes financial datasets
Build visualizations to guide the team and provide information about the datasets
Collaborate with research teams on new hypotheses to test through the data collection and analyzes process
Understand the connections between advanced mathematical, computational and machine learning methods and their intersection with the modern financial industry

JOB REQUIREMENT

At least 3 years of experience in Data Science
Major/Minor studies (BEng, MSc, and PhD) from a top university in a field, such as Mathematics, Computer Science, Physics, Electrical engineering, or equivalent
Research mindset: deep thinker, creative, strong work ethic, persevering, detail-oriented, smart & a self-starter
Good programming skills in Python
Good programming skills in C++ is a plus
Experience in cloud computing (AWS) and big data (Spark) is a plus
Strong interest in learning about worldwide financial markets
Strong communication skills in English – including both written and verbal
As a plus:
While not required, a strong interest in financial markets will definitely be beneficial. Prior experience in quant research will count as a big plus.
Participant in International or regional Mathematics/Programming/Physics Olympiads
Strong record of research achievement – examples include scientific publications, conference presentations, grants, or industry awards

WHAT'S ON OFFER

Competitive and attractive compensation package with a clear career road-map – where you feel challenged every day
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 the company 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, unlimited sick days, 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:

Product

Technical Skills:

Data Science

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Job ID:

J00813

Status:

Close

Related Job:

Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • Python

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering
  • Python
  • Cloud

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details

Data Scientist

Ho Chi Minh - Viet Nam


Outsource

  • Data Science
  • Python
  • LLM/RAG
  • Cloud

Formulate client business inquiries as analytical and modeling challenges, and choose appropriate methodologies. Develop, verify, and implement predictive models like propensity, segmentation, churn, forecasting, and recommendation. Plan and assess experiments, including A/B tests and incrementality studies, and communicate outcomes to varied audiences. Devise and construct anticipatory applications, involving tool-utilizing agents, multi-step workflows, retrieval-augmented generation, and prompt design. Create assessment frameworks for AI systems, comprising test sets, quality metrics, guardrails, and regression checks on model and agent behavior. Utilize AI agents and automated workflows to enhance the efficiency of analysis, code development, and documentation processes, and verify their results. Collaborate with Data Engineers to operationalize features, models, and agents on cloud platforms such as Google Cloud Platform (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), and Databricks (Spark, MLflow). Record methodologies, assumptions, limitations, and deliver findings to clients and internal leadership teams.

Negotiation

View details