Dolat Capital Market Private Ltd.

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

HR Executive (Recruitment & Payroll)

Overview

Dolat Capital is a technology-driven, multi-strategy quantitative trading firm trading in financial markets. Founded by Shri Dolatbhai Shah in 1971, we thrive on innovation, math, and technology. Our HR team plays a vital role in building and supporting world-class teams to drive our vision forward.

We are seeking a smart, confident, and result-oriented HR Executive (Recruitment & Payroll) to join our HR team. This role will focus on 70% recruitment activities and 30% payroll & HR operations.

Roles & Responsibilities

Recruitment

• Manage end-to-end recruiting cycle for IT & Non-IT roles.
• Source, screen, and evaluate candidates using innovative methods.
• Conduct HR rounds, negotiate offers, and manage candidate experience.
• Handle onboarding, joining formalities, and employment documentation.
• Drive campus recruitment initiatives and build strong university relationships.
• Support employee engagement initiatives.

Payroll & HR Operations

• Manage monthly payroll processing, attendance, and leave records.
• Address employee queries related to payroll, attendance, and HR policies.
• Maintain and update employee database and generate MIS reports.

Skills & Experience

• Bachelor’s degree with strong academic record.
• 1–5 years of hands-on experience in recruitment and payroll.
• Prior exposure to IT/Tech hiring and payroll software is a plus.
• Excellent communication, negotiation, and interpersonal skills.
• Strong attention to detail, confidentiality, and problem-solving ability.

Benefits

• Young & dynamic, cubicle-free workplace.
• Competitive salary.
• Opportunity to work in a fast-paced, tech-driven environment.

Job description:

Roles & Responsibilities

At Dolat, code is our business, so naturally, the Core Engineering and Systems team is at the centre of what we do. Our community of developers has designed and continues to enhance one of the fastest trading platforms using the latest tools and technologies. As a Software Developer, you’ll draw upon your computer science, mathematical, and analytical abilities to develop complex and nimble code used to grow our business and increase the efficiency of the global financial markets. Your responsibilities may include any of the following, which will require you to exercise discretion and independent judgment:

 Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high throughput production trading environment, which collects data from and disseminates orders to exchanges around the world

 Optimizing this platform by using network and systems programming, as well as other advanced techniques

 Developing systems that provide easy access to historical market data and trading simulations

 Building risk-management and performance-tracking tools

 Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips

 Implementing domain-optimized data structures

 Learn and internalize the theories behind current trading system

 Participate in the design, architecture and implementation of automated trading systems while taking ownership of system from design through implementation

Skills & Experience

 A strong background in data structures, algorithms, and object-oriented programming in C++

 Exchange Connectivity experience a plus

 Familiarity with Linux environments; Windows a plus

 High level knowledge & competencies in one or more of the following areas: TCP stack optimization Multi-core 1 machine parallelism Low level performance / cache optimization / profiling

Additional requirements include:

 Experience in distributed and/or highly concurrent systems is a plus

 Experience in low-latency systems and/or high transaction environments is a plus

 A passion for new technologies and ideas

 The ability to manage multiple tasks in a fast-paced environment

 Experience in network topologies and protocols like TCP and UDP

About The Company:

Dolat is a dynamic team of traders, puzzle solvers, and coding enthusiasts focused on tackling complex challenges in the financial world. We specialize in trading in volatile markets and developing cutting-edge technologies and strategies. We're seeking a skilled Linux Support Engineer to manage over 400 servers and support 100+ users. Our engineers ensure a high-performance, low-latency environment while maintaining simplicity and control. If you're passionate about technology, trading, and problem-solving, this is the place to engineer your skills into a rewarding career.

Qualifications:

• B.E/ B.Tech
• Experience: 1-3 years.
• Job location – Andheri West, Mumbai.

Responsibilities:

• Troubleshoot network issues, kernel panics, system hangs, and performance bottlenecks.
• Fine-tune processes for minimal jitter in a low-latency environment.
• Support low-latency servers, lines, and networks, participating in on-call rotations.
• Install, configure, and deploy fully-distributed Red Hat Linux systems.
• Deploy, configure, and monitor complex trading applications.
• Provide hands-on support to trading, risk, and compliance teams (Linux & Windows platforms).
• Automate processes and analyze performance metrics to improve system efficiency.
• Collaborate with development teams to maintain a stable, high-performance trading environment.
• Drive continuous improvement, system reliability, and simplicity.
• Resolve issues in a fast-paced, results-driven IT team.
• Provide level one and two support for tools systems testing and production release.

Skills Required:

• Expertise in Linux kernel tuning, configuration management (cfengine).
• Experience with hardware testing/integration and IT security.
• Proficient in maintaining Cisco, Windows, and PC hardware.
• Good knowledge in Perl, Python, Powershell & Bash.
• Hands-on knowledge of SSH, iptables, NFS, DNS, DHCP, and LDAP.
• Experience with Open Source tools (Nagios, SmokePing, MRTG) for enterprise-level systems.
• Knowledge of maintaining Cisco ports/VLANs/dot1.x
• Solid understanding of OS and network architectures.
• REDHAT Certification and SQL/database knowledge.
• Ability to manage multiple tasks in a fast-paced environment.
• Excellent communication skills and fluency in English.
• Proven technical problem-solving capabilities.
• Strong documentation and knowledge management skills.
• Software development skills are a bonus.
• Preferred SQL and database administration skills.

Industry

• Financial Services

About the Role:

We’re looking for a Python Developer to build, optimize, and scale applications that power our trading systems. You’ll work on automation, server clusters, and high-performance infrastructure in a fast-paced, tech-driven environment.

What you’ll do:

• Build and test applications end-to-end.
• Automate workflows with scripts.
• Optimize system performance and reliability.
• Manage code versions and collaborate with peers.
• Work with clusters of 100+ servers.

What we’re looking for:

• Strong Python fundamentals (OOP, data structures, algorithms).
• Experience with Linux commands, Bash scripting.
• Basics of Numpy, Matplotlib, and PostgreSQL.
• Hands-on with automation and scripting tools.
• Problem solver with a focus on scalability & optimization.

Why Dolat?

• Work at the intersection of finance & tech.
• Opportunity to solve complex engineering problems.
• Learn and grow with a team of smart, collaborative engineers.

Title: Quantitative Developer

Location : Mumbai

Candidates preferred with Master's

Who We Are

At Dolat Capital, we are a collective of traders, puzzle solvers, and tech enthusiasts passionate about decoding the intricacies of financial markets. From navigating volatile trading conditions with precision to continuously refining cutting-edge technologies and quantitative strategies, our work thrives at the intersection of finance and engineering.

We operate a robust, ultra-low latency infrastructure built for market-making and active trading across Equities, Futures, and Options—with some of the highest fill rates in the industry. If you're excited by technology, trading, and critical thinking, this is the place to evolve your skills into world class capabilities.

What You Will Do

This role offers a unique opportunity to work across both quantitative development and high frequency trading. You'll engineer trading systems, design and implement algorithmic strategies, and directly participate in live trading execution and strategy enhancement.

1. Quantitative Strategy & Trading Execution

• Design, implement, and optimize quantitative strategies for trading derivatives, index options, and ETFs
• Trade across options, equities, and futures, using proprietary HFT platforms
• Monitor and manage PnL performance, targeting Sharpe ratios of 6+
• Stay proactive in identifying market opportunities and inefficiencies in real-time HFT environments
• Analyze market behavior, particularly in APAC indices, to adjust models and positions dynamically

2. Trading Systems Development

• Build and enhance low-latency, high-throughput trading systems
• Develop tools to simulate trading strategies and access historical market data
• Design performance-optimized data structures and algorithms for fast execution
• Implement real-time risk management and performance tracking systems

3. Algorithmic and Quantitative Analysis

• Collaborate with researchers and traders to integrate strategies into live environments
• Use statistical methods and data-driven analysis to validate and refine models
• Work with large-scale HFT tick data using Python / C++

4. AI/ML Integration

• Develop and train AI/ML models for market prediction, signal detection, and strategy enhancement
• Analyze large datasets to detect patterns and alpha signals

5. System & Network Optimization

• Optimize distributed and concurrent systems for high-transaction throughput
• Enhance platform performance through network and systems programming
• Utilize deep knowledge of TCP/UDP and network protocols

6. Collaboration & Mentorship

• Collaborate cross-functionally with traders, engineers, and data scientists
• Represent Dolat in campus recruitment and industry events as a technical mentor

What We Are Looking For:

• Strong foundation in data structures, algorithms, and object-oriented programming (C++).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in systems programming within a Linux environment.
• Proficient and Hands on programming using python/ C++
• Familiarity with distributed computing and high-concurrency systems.
• Knowledge of network programming, including TCP/UDP protocols.
• Strong analytical and problem-solving skills.

A passion for technology-driven solutions in the financial markets.

Location: Mumbai

Department: International Business Relations

Industry: Financial Services / Proprietary Trading

Experience Level: Entry-level / Fresher-friendly

Position Overview Are you passionate about global markets, trading strategies, and client relations? We are looking for a sharp, finance-savvy Business Coordinator who will be the first point of contact for our international clients – including top-tier traders and researchers from across the globe. This role blends client-facing communication, market intelligence, and business strategy. As the bridge between clients and leadership, you'll be responsible for profiling client strategies, building strong relationships, and translating insights into actionable inputs for our management team.

Key Responsibilities

• Client Engagement & Strategy Mapping
• Represent the firm during introductory meetings with international clients.
• Understand and map out their trading styles, strategies, and business needs.
• Build lasting professional relationships with traders, quants, and fund managers.
• Business Analysis & Reporting
• Gather detailed insights on client portfolios, market behavior, and trading logic.
• Prepare structured reports and strategic briefs for senior management.
• Maintain well-documented, real-time client interaction logs.
• Meeting & Communication Management
• Coordinate internal and external meetings, ensuring smooth handovers to management.
• Liaise with HR and internal teams to ensure timely follow-ups and client tracking.
• Market Intelligence & Research
• Interact with traders, analysts, and financial researchers to stay updated on market trends.
• Relay valuable intelligence to the management to inform growth strategies.
• Relationship Management
• Proactively address client inquiries and concerns with professionalism.
• Drive high levels of client satisfaction, fostering trust and long-term partnerships.

Who Should Apply?

• If you are pursuing or have completed: MBA in Finance (Full-time or Online) BAF, BBA (Finance), BMS (Finance) Or any finance-related degree with an interest in trading, markets, or client engagement And you have:
• Strong foundational knowledge of financial markets and trading instruments
• Excellent communication and interpersonal skills
• A flair for breaking down complex ideas into simple, structured reports
• Proficiency in MS Office (especially PowerPoint & Excel); familiarity with CRM tools is a bonus Key Skills & Competencies Analytical thinking & financial acumen
• Business communication & client rapport building
• Organizational efficiency & multitasking
• Cultural awareness & global mindset

Why Join Us?

1. Work with a globally diverse clientele and fast-paced financial professionals.
2. Be at the forefront of trading intelligence and strategic business communication.
3. Gain exposure to real-world markets, high-stakes decision-making, and global trading ecosystems
4. Grow with a company that values initiative, learning, and ownership.

Dolat Capital is a multi-strategy trading firm, dedicated to producing superior returns by adhering to mathematical and statistical techniques. We trade actively in all Asset classes: equities, futures, options, commodities, currencies and fixed income taking advantage of our ultra-low latency infrastructure. Our low latency infrastructure is in C++, one of the most competitive in terms of latency.

The Quantitative Research team at Dolat Capital focuses on quantitative trading, specifically fully automated trading systems. We develop proprietary algorithms by using mathematical techniques and statistical analysis to identify patterns and behavior of markets.

The incumbent will be responsible to design, develop and implement computational algorithms/strategies that succeed in generating sizable profits consistently, in real life market for a high-frequency trading environment

• Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high-throughput production trading environment, which collects data from and disseminates orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques
• Developing systems that provide easy access to historical market data and trading simulations
• Building risk-management and performance-tracking tools
• Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
• Implementing domain-optimized data structures
• Learn and internalize the theories behind current trading system
• Participate in the design, architecture and implementation of automated trading systems
• Take ownership of system from design through implementation