Scala expert

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.

Looking for Immediate joiners Bangalore location(3-9years)

Key responsibilities:

• Understand all requirements, Design, Develop and implement features, complying with engineering and regulatory standards and procedures for charging stations.
• Create multiple concepts, evaluate, and implement the optimal one.
• Develop and maintain product’s design integrity with good knowledge of software system architecture and design.
• Apply problem-solving techniques and guide team towards arriving at solutions.
• Work with cross functional team from Concept prototyping to Launch & thereafter.
• Guide team towards creation and handling of all design and development related processes and documents like, defining requirements, high level design, low level design, DFMEA, DF’X’, Interface sign off, RCA, etc.

Key requirements

• A Bachelor/ master’s degree in E&E/ECE engineering from premier institute
• 5 years+ product development experience on Linux based systems, with full lifecycle experience for atleast 2 industry deployed products.
• Software Design and Architecture experience on Linux platforms
• Interfacing with SaaS via network or REST APIs 
• Knowledge of CAN, RS485/Modbus protocols, Kafka, Distributed Messaging 
• C++ with STL, Linux system programming, scripting, network/sockets programming, strong in UDP/TCP networking, libcurl + HTTP(s)
• Knowledge of Bluetooth/BLE, Elastic Search + Logstash, Java performance tuning 
• Knowledge of security-based Threat Modelling Design & Mitigation, TLS/SSL, Docker + Docker networking, Python + node.js + WebSocket’s, HTML5, JavaScript. 
• Excellent communication, leadership, and problem-solving skills
• Ability to work in a fast-paced and dynamic environment.

JD:

As a Staff Software Engineer, you will be responsible for the design, implementation and maintenance of software modules owned by a team. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high quality code. This role requires excellent communication skills as you will need to collaborate across teams. 

Key Skills:

• 3 to 6 years of experience
• Extensive experience on C/C++/Python
• Experience on OS - Unix/Linux and Windows
• Hands on experience in Networking and Multi-threading

Desirable Skills:

• Experience in Cloud Technologies, system programming is a plus

Roles and responsibilities:

• Play key role in design/development of security product. 
• Responsible for the complete software development cycle.
• Gathering & understanding requirements.
• Design, development & implementation independently.
• Responsible for ensuring timely and quality delivery.
• Will be able to work in end to end features. 

Qualification:

• B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent.