Junior Engineer

Mandatory Skills: C++, STL, Multithreading, Socket Programming, LINUX, Memory Management, System Design, Design Patterns, Design & Deployment.

● 4+ years of experience in C++ application development.

● Hands-on experience with C++11 or above.

● Strong knowledge of object-oriented programming and software design.

● Deep understanding of STL, multi-threading, socket programming, and datastructures.

● Solid grasp of Linux development and debugging techniques.

● Proficient in using GCC, GDB, and Makefile.

● Familiarity with Valgrind and similar analysis tools.

● Experience with version control tools like Git.

● Experience writing and maintaining automated tests.

● Experience in capital markets/trading domain is a plus.

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.

• Core Java 5.0 and above
• Extensive experience in developing enterprise-scale n-tier applications for the financial domain.
• Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS, preferably Sybase database
• Good knowledge of multi-threading and high volume server side development
• Experience in sales and trading platforms in investment banking/capital markets
• Basic working knowledge of Unix/Linux.
• Strong written and oral communication skills.
• Should have the ability to express their design ideas and thoughts.

Responsibilities:

• Setup and integrate various APIs
• Dealing with scripts written in different languages (PHP, Node.js, Python, PhantomJS, Ruby)
• Must be an R & D specialist
• Keep up-to-date with advanced concepts
• Adaptable to learn new technologies
• Knowledge on Linux and its commands
• Fast in debugging the code
• Should be a quick learner
• Good at communication

Requirements

• Minimum 3 Years of experience in PHP7
• 1 Year experience in Node.js/Python
• Good work experience in PHP7 
• Strong knowledge in OOPS.
• Proven knowledge on REST and SOAP API integrations 
• Experience in composer installations
• Strong in Javascript and Node.js concepts.
• Good knowledge of MongoDB and MySql
• Knowledge of versioning tools (SVN/GIT)
• Having knowledge on Amazon AWS and Google Cloud Platform is an added advantage
• Having knowledge of elastic search is an added advantage
• Good to have knowledge on p threads

• Writing efficient, reusable, testable, and scalable code
• Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
• Integration of user-oriented elements into different applications, data storage solutions
• Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
• Designing and implementing – High availability and low latency applications, data protection and security features
• Performance tuning and automation of application
• Working with Python libraries like Pandas, NumPy, etc.
• Creating predictive models for AI and ML-based features
• Keeping abreast with the latest technology and trends
• Fine-tune and develop AI/ML-based algorithms based on results

Good proficiency in,

• Python frameworks like Django, etc.
• Web frameworks and RESTful APIs
• Core Python fundamentals and programming
• Code packaging, release, and deployment
• Database knowledge
• Circles, conditional and control statements
• Object-relational mapping
• Code versioning tools like Git, Bitbucket

Fundamental understanding of,

• Front-end technologies like JS, CSS3 and HTML5
• AI, ML, Deep Learning, Version Control, Neural networking
• Data visualization, statistics, data analytics
• Design principles that are executable for a scalable app
• Creating predictive models
• Libraries like Tensorflow, Scikit-learn, etc
• Multi-process architecture
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system