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About Us
Dolat Capital is a multi-strategy quantitative trading firm specializing in high-frequency and fully automated trading systems across global markets. We build proprietary algorithms using advanced mathematical, statistical, and computational techniques.
We are looking for an Experienced Quantitative Researcher to develop, test, and optimize quantitative trading strategies—primarily for APAC markets. The ideal candidate brings strong mathematical thinking, hands-on trading experience, and a track record of building profitable models.
Key Responsibilities
- Research, design & develop quantitative trading strategies
- Analyse large datasets and build predictive models / regression models
- Implement models in Python / C++ / Matlab
- Monitor, execute, and improve existing trading strategies
- Collaborate closely with traders, developers, and researchers
- Optimize trading systems, reduce latency, and enhance execution
- Identify new trading opportunities across listed products
- Oversee and manage risk for options, equities, futures, and other instruments
Required Skills & Experience
- Minimum 3+ years experience on a high-volume equities, futures, options, or market-making desk
- Strong background in Statistics, Mathematics, Physics, or related field (PhD)
- Proven track record of profitable real-world trading strategies
- Strong programming experience: C++, Python, R, Matlab
- Experience with automated trading systems and exchange protocols
- Ability to work in a fast-paced, high-pressure trading environment
- Excellent analytical skills, precision, and attention to detail
Type: Client-Facing Technical Architecture, Infrastructure Solutioning & Domain Consulting (India + International Markets)
Role Overview
Tradelab is seeking a senior Solution Architect who can interact with both Indian and international clients (Dubai, Singapore, London, US), helping them understand our trading systems, OMS/RMS/CMS stack, HFT platforms, feed systems, and Matching Engine. The architect will design scalable, secure, and ultra-low-latency deployments tailored to global forex markets, brokers, prop firms, liquidity providers, and market makers.
Key Responsibilities
1. Client Engagement (India + International Markets)
- Engage with brokers, prop trading firms, liquidity providers, and financial institutions across India, Dubai, Singapore, and global hubs.
- Explain Tradelab’s capabilities, architecture, and deployment options.
- Understand region-specific latency expectations, connectivity options, and regulatory constraints.
2. Requirement Gathering & Solutioning
- Capture client needs, throughput, order concurrency, tick volumes, and market data handling.
- Assess infra readiness (cloud/on-prem/colo).
- Propose architecture aligned with forex markets.
3. Global Architecture & Deployment Design
- Design multi-region infrastructure using AWS/Azure/GCP.
- Architect low-latency routing between India–Singapore–Dubai.
- Support deployments in DCs like Equinix SG1/DX1.
4. Networking & Security Architecture
- Architect multicast/unicast feeds, VPNs, IPSec tunnels, BGP routes.
- Implement network hardening, segmentation, WAF/firewall rules.
5. DevOps, Cloud Engineering & Scalability
- Build CI/CD pipelines, Kubernetes autoscaling, cost-optimized AWS multi-region deployments.
- Design global failover models.
6. BFSI & Trading Domain Expertise
- Indian broking, international forex, LP aggregation, HFT.
- OMS/RMS, risk engines, LP connectivity, and matching engines.
7. Latency, Performance & Capacity Planning
- Benchmark and optimize cross-region latency.
- Tune performance for high tick volumes and volatility bursts.
8. Documentation & Consulting
- Prepare HLDs, LLDs, SOWs, cost sheets, and deployment of playbooks.
- Required Skills
- AWS: EC2, VPC, EKS, NLB, MSK/Kafka, IAM, Global Accelerator.
- DevOps: Kubernetes, Docker, Helm, Terraform.
- Networking: IPSec, GRE, VPN, BGP, multicast (PIM/IGMP).
- Message buses: Kafka, RabbitMQ, Redis Streams.
Domain Skills
- Deep Broking Domain Understanding.
- Indian broking + global forex/CFD.
- FIX protocol, LP integration, market data feeds.
- Regulations: SEBI, DFSA, MAS, ESMA.
Soft Skills
- Excellent communication and client-facing ability.
- Strong presales and solutioning mindset.
- Preferred Qualifications
- B.Tech/BE/M.Tech in CS or equivalent.
- AWS Architect Professional, CCNP, CKA.
Why Join Us?
- Experience in colocation/global trading infra.
- Work with a team that expects and delivers excellence.
- A culture where risk-taking is rewarded, and complacency is not.
- Limitless opportunities for growth—if you can handle the pace.
- A place where learning is currency, and outperformance is the only metric that matters.
- The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech.
This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.


