Careers — Singapore

Join FundInsight

We are a research-driven organisation headquartered at Ocean Financial Centre, Singapore. We seek professionals who approach market problems with intellectual rigour and quantitative precision.

Singapore Headquarters

10 Collyer Quay, #10-01 Ocean Financial Centre, Singapore 049315

2
Open Roles
2012
Est.
SG · LDN · NYC
Hubs

Senior Quantitative Researcher

Singapore — Ocean Financial CentreResearch LabSenior (7+ years)Full-time
Ref: FI-2026-SG-01 Posted April 2026

FundInsight Research Lab is seeking an exceptional Senior Quantitative Researcher to join our Singapore headquarters at Ocean Financial Centre. The successful candidate will lead the development of next-generation market microstructure models, liquidity aggregation algorithms, and multi-asset volatility frameworks that underpin our Secure Gateway 2026 infrastructure. This is a high-impact role at the intersection of financial theory, statistical modelling, and production-grade quantitative systems.

Key Responsibilities

  • Design and implement proprietary order flow toxicity models using Level 2 tick data from 28 Tier-1 LPs
  • Develop and validate multi-asset volatility regime classification frameworks (HMM, GARCH, stochastic vol)
  • Lead research into liquidity aggregation efficiency across FX, commodity, and equity index derivatives
  • Author institutional-grade research papers for client distribution and internal knowledge management
  • Collaborate with Platform Engineering on low-latency signal delivery via FIX API and REST endpoints

Requirements

  • PhD in Mathematics, Statistics, Financial Engineering, Physics, or equivalent quantitative discipline
  • Minimum 7 years of buy-side or quantitative sell-side research experience in institutional markets
  • Mastery of Python (NumPy, Pandas, SciPy, Statsmodels) and at least one: C++, Julia, or Rust
  • Deep expertise in market microstructure theory, stochastic calculus, and high-frequency econometrics
  • Demonstrated experience with FIX protocol data, Level 2 order book analysis, and co-location infrastructure
Apply via Contact Desk

Cloud Infrastructure Engineer

Singapore — Ocean Financial CentrePlatform EngineeringMid-Senior (5+ years)Full-time
Ref: FI-2026-SG-02 Posted April 2026

FundInsight Platform Engineering is seeking a Cloud Infrastructure Engineer to design, build, and operate the distributed cloud and co-location infrastructure that powers our Secure Gateway 2026. The role spans our Singapore headquarters and our co-location environments at Equinix LD4 (London) and SG1 (Singapore), requiring expertise in hybrid cloud architecture, real-time data streaming, and financial-grade network reliability.

Key Responsibilities

  • Architect and maintain hybrid cloud infrastructure spanning AWS/GCP and Equinix co-location environments
  • Design real-time data pipelines for ingesting Level 2 order book data from 28 global liquidity providers
  • Implement and operate Kubernetes-based container orchestration for mission-critical production services
  • Build and maintain infrastructure-as-code (Terraform, Pulumi) for all production and DR environments
  • Ensure 99.9% platform uptime through automated failover, circuit breakers, and chaos engineering practices

Requirements

  • Minimum 5 years of cloud infrastructure engineering experience in latency-sensitive financial environments
  • Expert proficiency in Kubernetes, Terraform, and major cloud platforms (AWS preferred)
  • Hands-on experience with real-time data streaming: Apache Kafka, Apache Flink, or equivalent
  • Strong networking knowledge: BGP, MPLS, cross-connects, and low-latency network design principles
  • Experience with financial-grade monitoring: Prometheus, Grafana, OpenTelemetry, and SIEM platforms
Apply via Contact Desk
FundInsight is an equal opportunity employer. All applications are evaluated solely on professional merit. To apply, send your CV and a brief covering note to careers@fundinsight.net quoting the relevant reference number. Only shortlisted candidates will be contacted within 10 business days.