Quantitative Trading Consultant Specialist

Neuraleap Technology Group; Singapore; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

A leading technology firm seeks a Quantitative Trading Consultant Specialist to enhance their mid-frequency and low-frequency trading capabilities. This full-time role involves designing trading infrastructures, developing market data management systems, and executing innovative strategy implementations. Ideal candidates have a strong background in quantitative trading and expertise in relevant technologies, contributing to a fast-paced growth environment with significant market presence.

Qualifications

• 10+ years of experience in quantitative trading.
• Deep understanding of financial markets and quantitative strategies.
• Proficient in Python with knowledge of C++ or Rust.

Responsibilities

• Architect and implement scalable trading infrastructure.
• Build and maintain real-time market data feeds.
• Develop low-latency execution engines with risk controls.

Skills

kubernetes

websocket api

mongodb

quantitative trading strategies

cloud platforms

gcp

gitlab

aws

timescaledb

c++

market microstructure

redis

financial markets

kafka

risk management

ci/cd pipelines

api

indian market compliance standards

real-time data pipelines

backtesting

github

postgresql

python

docker

rust

Job description

Quantitative Trading Consultant Specialist

Job Title: Quantitative Trading Consultant SpecialistDepartment: TechnologyLocation: Mumbai (In-office)Budget: Up to 5,00,000 per month (60 LPA)Experience Required: 10+ YearsNotice Period: Open to candidates currently serving noticeUrgency: Immediate RequirementCompany Type: Large-scale organization with substantial AUM and rapid growthRole OverviewWe are hiring a highly accomplished Quantitative Trading Consultant with deep expertise in building and running mid-frequency and low-frequency trading desks. This full-time specialist role demands a sharp, independent thinker with proven experience across the entire trading stackfrom infrastructure setup to execution, risk, and compliance.You will work in a fast-paced, high-performance environment with direct access to senior leadership, contributing to a firm with strong market presence and sizable assets under management (AUM).Key ResponsibilitiesInfrastructure Setup:Architect and implement scalable trading infrastructureservers, execution gateways, and broker/exchange connectivity.Market Data ManagementBuild and maintain real-time market data feeds using WebSocket APIs, ensuring minimal latency and robust data reliability.Strategy Development & BacktestingCreate and enforce best practices for strategy research, backtesting, forward testing, and real-time deployment.Execution SystemsDevelop fault-tolerant, low-latency execution engines with embedded risk controls and efficient error handling.Risk ManagementDesign real-time risk monitoring systems, enforce position and exposure limits, and ensure compliance with SEBI/NSE/BSE regulations.Monitoring & AlertingDeploy and maintain monitoring systems using Prometheus, Grafana, and ELK Stack for continuous visibility and alerts.Team CollaborationLiaise with quants, developers, analysts, and DevOps to ensure smooth trading operations and system integration.Compliance & DocumentationMaintain detailed documentation of trading systems, workflows, risk controls, and regulatory compliance measures.Required Skills & QualificationsDeep understanding of quantitative trading strategies, financial markets, and market microstructureProficient in Python, with working knowledge of C++ or Rust for performance-critical componentsExpertise in real-time data pipelines using Kafka, Redis, and experience with PostgreSQL, MongoDB, or TimescaleDBFamiliarity with CI/CD pipelines, GitLab/GitHub, Docker, Kubernetes, and cloud platforms (AWS/GCP)Proven experience in WebSocket API integration and building latency-sensitive systemsStrong analytical mindset, risk awareness, and problem-solving skillsSound understanding of Indian market compliance standardsPreferred ExperiencePrior ownership or key contribution to a quant trading desk (mid-frequency or low-frequency)Experience in Indian equity, futures, and options marketsExperience with algorithmic trading infrastructure and strategy deploymentReportingThis role reports directly to senior management and works closely with the trading, tech, and risk leadership teams.Skills: kubernetes,websocket api,mongodb,quantitative trading strategies,cloud platforms,gcp,gitlab,aws,timescaledb,c++,market microstructure,redis,financial markets,kafka,risk management,ci/cd pipelines,api,indian market compliance standards,real-time data pipelines,backtesting,github,postgresql,python,docker,rust,

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