Founded in 1971, Dolat Capital is a technology-driven quantitative trading firm, dedicated to producing high returns using mathematical and statistical techniques. The Quantitative Trading team at Dolat Capital focuses on quantitative trading, specifically fully automated trading systems. We have a group of bright quantitative researchers, analysts and traders from various scientific disciplines who have built an array of analytical tools, to help us design, develop and run our quantitative strategies in financial markets.

We are looking for an energetic, enthusiastic, creative thinker who is competitive and driven with a passion for automated trading and the financial markets. Work will include; detailed understanding of existing and development of new execution/market making algorithms, using analytical tools to understand the market microstructure and order data. One would also perform a latency analysis to evaluate strategy performance. The ideal candidate is a confident decision-maker who assumes responsibility from idea generation to implementation of their process. You will work closely with experienced traders, software engineers and quantitative researchers to develop and improve trading strategies. You will gain exposure to multiple asset classes through hands-on trading experience and data analysis. You will focus on managing the execution of various models, strategies and risk of trading strategies. Individual discovery and collaboration with fellow team members are encouraged to develop your understanding of market behaviour.

Responsibilities

• Creating a suite of execution/market making algorithms using various prediction models and alphas.
• Take responsibility of running their algorithms optimally in the production environment.
• Monitoring PnL and making adjustments to parameters of trading strategies.
• Improving execution/market making logics and automating various strategy logics.
• Preparation of daily P&L, exposure and risk reports.
• Assist in the development of various analytical tools
• Evaluate various forecasting models using statistical measures
• Researching potential trading ideas and helping to devise new trading strategies.
• Tackle operational challenges, ensuring our automated trading systems are continuously operating at maximum performance.
• Investigate the potential application of existing strategies to other asset classes/products
• Perform post-trade analysis of strategies including position and PnL reconciliation
• Provide valuable insight into various trading teams and firm-wide research initiatives

Skills You’ll Need:

• A bachelor’s or master’s degree in mathematics, statistics, engineering, computer science or related field
• Strong quantitative, analytical and problem-solving skills, and ability to deploy these skills in tighter time constraints
• Is self-motivated enjoys challenges and has an ability to successfully manage multiple tasks in a fast-paced environment
• Familiar with C++ and python programming
• Interested in analyzing large data sets using knowledge of probability and statistics
• Can communicate effectively your perspectives on trading strategies and risk in a concise manner to the team
• Understanding of Linux admin and shell scripting would be a benefit
• Familiarity with the automated trading environment would be a benefit

Founded in 1971, Dolat Capital is a multi-strategy quantitative trading firm, dedicated to producing high returns using mathematical and statistical techniques. We trade actively in various asset classes using our ultra-low latency trading infrastructure.

At Dolat, quantitative research is the foundation for our trading strategies.  We conduct a quantitative analysis of market data to uncover relationships and identify historical trends for exploiting anomalies in the market.  Our quantitative research team develops mathematical and statistical models, based on historical data, to represent markets and behavioural patterns.

As a Quantitative Researcher, you will develop mathematical models using statistical methods to build fully automated trading systems & strategies. Our research team collaborates on idea generation, strategy development, and encourages independent exploration of novel ideas.

We have a group of bright quantitative researchers and analysts from various scientific disciplines who have built an array of analytical tools, to help us design, develop and run our quantitative strategies in financial markets.

We are seeking equally empirical and imaginative thinker to join our team.

Role & Responsibility

• Contributing to original research on quantitative indicators/models that drive the construction of high-frequency trading strategies, that we trade in production
• Developing trading strategies, from idea generation and data collection to analysis and model creation
• Extract predictive signals from financial data through statistical analysis methods
• Assist software developers to translate research strategies into production software
• Optimize the order execution and risk management of our trading system
• Analyze a large amount of data and develop prediction algorithms/regression models and implement them in C++, R, Matlab and python environments
• Formulate and apply mathematical modelling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities
• Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas
• Applying analytical and simulation techniques to analyze model performance

 Must Haves

• A strong academic record with a preference for a master’s/PhD degree in a quantitative discipline – computer science, mathematics, physics, statistics, or a related discipline
• A demonstrated capacity to do first-class research & experience in tackling in-depth research projects.
• Strong computer programming skills and experience working with data.
• Understanding in at least some of the following areas: time-series analysis, statistical estimation, Bayesian techniques, scenario analysis, numerical optimization and optimal control.
• A curiosity for model development and experience handling large data sets
• Strong problem-solving and statistics skills
• The proactive ability to take the lead on assignments and deliver practical research results in a timely manner
• Can advocate for your beliefs in a concise and effective way with the team
• Creativity, solid analytical skills and attention to detail.
• The ability to communicate complex ideas clearly.

Founded in 1971, Dolat Capital is a multi-strategy quantitative trading firm, dedicated to producing higher returns using mathematical and statistical techniques. We trade actively in various asset classes using our ultra-low latency trading infrastructure. Dolat Capital focuses on quantitative trading, specifically fully automated trading systems. We have a group of bright quantitative researchers, analysts and traders from various scientific disciplines who have built an array of analytical tools and a high-performance trading infrastructure, to help us design, develop and run our quantitative strategies in financial markets.

Dolat Capital is always in search of experienced quantitative traders with proven track records of success and niche expertise to join our team. Dolat is seeking individuals with a strong entrepreneurial spirit, exceptional quantitative aptitude, and strong analytical skills to implement successful quantitative trading strategies.

We highly value, consistent profitability of trading strategies. We are looking for candidates with strong verifiable trading track records for the past 1-3 plus years. Candidates must have a demonstrable track record of quantitative model profitability with actual trades and not just back-tested data. Traders with backgrounds in intra-day high frequency automated trading are especially encouraged to apply. We are interested in the profitable experience regardless of the current trading system. We can help enhance your performance through advanced low latency technology, access to larger risk-tolerant capital, and a strong simulation and automated learning environment.

We offer a dynamic, fast-paced, meritocratic environment with a flat hierarchy and because of our philosophy of rewarding outstanding performance based on merit rather than tenure; we have attracted a lot of brilliant people.

Qualifications

• Graduate or undergraduate degree in Mathematics, Physics or Engineering
• 1 -3+ years working experience of high volume trading, managing risk, and dealing with the operational issues associated with short-term quantitative trading strategies.
• 1 -3+ years of experience in generating or implementing short-term trading alphas into production trading strategies.
• Proven ability to develop new, profitable trading strategies
• A strategy that is currently and consistently profitable, we’re open to all markets
• Excellent Return on Capital (ROC)
• A proven track record (not just back-test data)
• Proven risk management skills and ability to manage trading within a given set of risk parameters
• Preference to those with the ability to do light programming work using multi-dimensional arrays, nested loops, complex conditionals and simple file I/O
• Strong mathematical aptitude
• Has demonstrated the ability to use sound judgment while trading
• Experience at a quantitative trading firm, hedge fund or a bank

Founded in 1971, Dolat Capital is a diversified multi-strategy trading firm, using computer algorithms to trade in financial markets.

We make markets in equity and index derivatives using our proprietary derivatives valuation methodology. At Dolat, we seek to continuously improve our approach to pricing, execution algorithms and risk management. We have an appetite to diversify and improve and are always looking for great new talent to bring fresh ideas and perspectives to our automated options trading team.

We are looking for an experienced electronic automated options trader to join the team and improve us further. As part of Dolat’s Options Market Making Desk, you will be managing risk across multiple sector groups that results from automated electronic market-making. You will have the opportunity to work with other traders and engineers to improve our risk management logic and processes. We offer a dynamic, fast-paced, meritocratic environment with a flat hierarchy.

The ideal candidate will have strong options pricing and volatility skew trading knowledge, preferably as an automated options market maker. You will be a natural problem solver with exceptional analytical and quantitative skills. You’re a strong performer with a passion for trading and eagerness to learn and continually improve.

Responsibilities

• Manage risk and execution across multiple products.
• Manage and automate various volatility and skew parameters that affect option pricing.
• Conduct product-specific research in order to identify peculiar risks.
• Identify skew and volatility levels within specific names.
• Making statistically-based decisions across a large universe of symbols
• Working with our technology team for tool building
• Analyzing post-trades doing PnL analysis and portfolio reviews using various analysis tools and logs
• Collaborate with researchers, analysts, desk engineers and traders to identify and implement new trading strategies, and improve current strategies.

Role requirements:

• 2 – 5+ years of managing risk on an electronic market-making desk.
• 2 – 5+ years of experience working as an Automated Options Volatility Trader / Market Maker
• Familiarity with SQL.
• Familiarity with a scripting language (Python).
• Ability to perform trade analysis and identify solutions.
• Excellent analytical skills.
• Track record of strong performance
• Demonstrated knowledge and understanding of automated options market making space and a broad understanding of how markets function
• Strong communication skills and ability to work under pressure
• A passion for trading

Founded in 1971, Dolat Capital is a technology-driven quantitative trading firm, using computer algorithms to trade in financial markets. Our software engineers are paramount to our business success. The software we write is our business and the entire company revolves around it.

Working at Dolat means collaborating with amazing bright developers from various backgrounds to create cutting edge-technology and tackle challenging technical problems.

The individual in this role will be a part of our Core Development team which is responsible for designing, developing and maintaining Dolat’s Algorithmic Trading Infrastructure. They will be focused on C++ functionality.

You will be responsible for creating and optimizing scalable, multi-tiered applications and infrastructure. We are looking for someone who will be able to solve difficult technical problems in a fast-paced and energetic trading environment. Technically, we’re a Linux shop; our core trading infrastructure is written in C++.

We offer a dynamic, fast-paced, meritocratic environment with a flat hierarchy. You’ll learn all the intricacies of how trading and technology intersect within the financial marketplace.

Skills you’ll need:

• Strong Computer programming skills using C++ in a Linux environment with expertise using STL and boost
• Strong understanding of computer systems e.g. operating systems, networks, performance optimization, etc
• Experience in Object-Oriented design and multi-threaded programming
• Experience in creating/supporting cross-platform multi-threaded applications
• Strong analytical and problem-solving skills
• Optimize cache lines like a wizard
• Can code up a multi-threaded UDP server/client easily
• Understands the complexity involved with threads and lock-free semantics

Your Profile:

• Has a Bachelor’s, Master’s or PhD degree in Computer Science, Engineering or related field
• Can work independently
• Can analyze and fix problems quickly
• Can look at code; figure out how it works, and how to make it better
• Can describe software designs at a high level (the abstract interface), low level (step-by-step algorithm), or anywhere in between

Founded in 1971, Dolat Capital is a technology-driven quantitative trading firm using computer algorithms to trade in financial markets. Our software engineers are paramount to our business success. The software we write is our business and the entire company’s foundation is built on it.

Working at Dolat means collaborating with amazing bright developers from various backgrounds to create cutting edge-technology and tackle challenging technical problems.

Our software engineering team is looking for a passionate C++ Software Developer to develop new, and improve Dolat’s existing low latency Algorithmic Trading Platform. You will be integral in the interaction between research and quantitative trading teams and you will have the opportunity to work with cutting-edge technologies.

You will be responsible for creating and optimizing scalable, multi-tiered applications and infrastructure. We are looking for someone who will be able to solve difficult technical problems in a fast-paced and energetic quantitative trading environment.

Technically, we’re a Linux shop, our core trading infrastructure is written in C++. We offer a dynamic, fast-paced, meritocratic environment with a flat hierarchy.

Skills:

• Have significant experience developing high-availability systems in C++ with very tight latency constraints
• Strong computer programming skills using C++ in a Linux environment with expertise using STL and boost
• Have strong knowledge in parallel computing and Network programming
• Have a strong understanding of software development principles (OO design, TDD, etc)
• Can code up a multi-threaded UDP server/client easily
• Understands the complexity involved with threads and lock-free semantics
• Assisting in the development of a tick by tick backtesting research platform
• Optimizing the computational efficiency of existing learning-based algorithms to drive higher performance and faster learning rates
• Developing systems that provide easy access to historical market data and trading simulations
• Creating tools to analyze data
• Have strong interpersonal skills and ability to work in a collaborative environment with cross-functional teams
• Possess self-motivation, curiosity and passion for technology

Profile:

• Has a Bachelor’s, Master’s or PhD degree in Computer Science, Engineering or related field
• Exchange Connectivity experience a plus
• Knowledge and experience in Python
• Experience working in the trading industry or other ultra-low latency-sensitive business that involves solving remarkably complex problems
• Low level performance / cache optimization / profiling
• Knowledge and experience in network protocols (TCP, UDP,…)
• Experience of full life-cycle software development utilizing exotic hardware/software architectures for ultra-low latency trading systems

Dolat Capital, a quantitative trading firm, seeks a skilled Senior Linux Support Engineer to join our systems team. The Linux Support Engineer will help oversee the maintenance of hundreds of our production servers while supporting more than 100 users. Dolat has many high-capacity, low-latency, direct private lines between our sites, and we use the latest high-performance hardware.

Dolat’s Trading Support Engineers are the gatekeepers of the production trading environment.  We firmly believe in balancing a safe, orderly production environment that works optimally by deploying, maintaining, monitoring and operating a fleet of Linux servers to its optimal performance. We are looking for engineers who share this vision, and who shun complexity in favor of simplicity. You will help enable our technology evolution while maintaining control. You will be expected to help build the various tools to keep our systems running to their highest optimal performance.

Responsibilities

• Debugging dropped packets, whether at the network, NIC, OS, or application layers
• Troubleshooting kernel panics and system hangs
• Analyzing performance issues
• Fine-tuning processes to run with the least jitter
• Directing support for our continuously active servers, lines, and low-latency network
• Installing, configuring, and deploying fully-distributed Red Hat Linux systems
• Taking a role in researching, testing, recommending, implementing, and maintaining a cutting- edge, ultra-low-latency system and network technologies
• Participating in an on-call rotation
• Deploy, monitor, and configure a complex suite of trading applications
• Provide exceptional trade support to a high-frequency trading floor environment
• Provide skilled hands-on technical expertise to trading, risk, middle office, and compliance teams across Windows and Linux platforms
• Develop fluency with existing systems, infrastructure, and procedures and proactively improve them
• Intelligently automate while maintaining firm human control
• Script against configuration files, databases, and logs
• Gather and analyze metrics to improve and report on the performance and efficiency of trading systems
• Work in tandem with the development team to ensure the health and stability of the production environment
• Continually drive production systems toward cleanliness, simplicity, and reliability
• Participate in deep-dive investigations necessary in troubleshooting and improving low latency systems
• Track and solve issues as part of fast-paced results driven set of IT teams
• Solving problems by providing level one and level two support for our reporting and tools
• Testing and releasing the tools to production
• Monitoring daily reports and run of scheduled jobs
• Monitoring and reporting on the status and health of our systems
• Serving as the primary technical contact for compliance and risk managers
• Contributing to the design and implementation of the support system to enhance reliability and self-correction
• Provides support for the front office, middle office and back-office applications and users
• Facilitate communication between trading, infrastructure and software development teams
• Supports proprietary and third-party trading systems and infrastructure
• Contributes to the engineering efforts to automate processes, monitor systems and
• Improve software management on both Microsoft and Linux platforms.
• Communicate directly with exchanges, clearing members and ISV’s to resolve trading issues
• Work with software development teams to improve, monitor and maintain internal systems
• Maintain enterprise scheduling, release and monitoring systems
• Provide support for local and co-located datacenters

Qualifications

• If you have not used the following commands, please do not apply: vmstat, top, uname, ps, emacs/vi, svn, git, make, rpm, ping, tcpdump, wireshark, nfsstat, traceroute

• A technical degree from an accredited university (B.E/B.Tech only)
• Knowledge in Linux Kernel tuning, configuration management with cfengine, Linux
• Network performance management/troubleshooting, hardware testing/integration and IT security
• Knowledge of maintaining Cisco, Windows, and PC hardware
• Fluency in at least one scripting/coding language
• Hands-on knowledge of SSH, iptables administration, NFS, DNS, DHCP, and LDAP
• Knowledge with Open Source applications to build enterprise-level systems (i.e., Nagios, SmokePing, MRTG, etc.)
• Expertise in maintaining Cisco ports/VLANs/dot1.x settings in any office environment
• Experience with scripting tools such as Power Shell, Python, Perl and /or Bash is a plus
• Ability to read and interpret English-language technical documents
• A high aptitude for learning and employing appropriate technologies
• Solid scripting skills
• Software development skills are a plus but not required
• SQL and database administration skills are preferred
• Solid understanding of operating systems
• Solid understanding of network architectures
• Knowledge of trading exchanges and financial instruments is not required
• Knowledge of Linux along with REDHAT Certification.
• Strong troubleshooting and problem-solving abilities
• The ability to manage multiple tasks in a fast-paced trading environment
• Excellent communication skills and fluency in English
• Must be able to demonstrate technical problem-solving skills
• Excellent documentation and knowledge management skills

Dolat Capital, a technology-driven quantitative trading firm, is looking to hire a network engineer to design, implement and support low latency trading network technology and solutions. The role will focus around co-Location networks, including client, exchange and vendor connectivity across Mumbai region.

As a Network Engineer, you will be working on the organization’s production network infrastructure, your mission will be to ensure the network is always fast (low latency), available, scalable and engineered to withstand unparalleled outages. You will be working in a team that combines network engineering, operations, system administration, and develop automation tools to enhance and operate our firm’s network platform. This is your chance to make a change, and transform our way of working with automation and scale.

Responsibilities

• Network Design; configure switches and routers; emphasis on complex multicast traffic.
• Layout data centers; we have a complex WAN and LAN with about 4 data centers.
• Recommend hardware and software upgrades to reduce system latency.
• Install, configure, support, and maintain servers and desktop computers. Most trading is done on Linux servers. Development is a mix of Windows and Linux.
• Help design our own servers optimized for performance and low-latency.
• Develop scripts to automate repetitive tasks such as tape backups.
• Benchmark technology components to determine their latency and bandwidth.
• Network configuration management
• Investigate offerings or technologies that may be leveraged to optimize circuit and network performance (e.g. capacity, latency, stability, etc.)
• Review middleware and messaging software/libraries and see how the different processes can use them optimally
• Perform network troubleshooting to isolate and diagnose network problems
• Review capacity reports, problem records and performance monitors to evaluate network performance and make recommendations for improvement
• Work with the development teams to ensure all proprietary and third-party applications properly integrate with the firm’s network infrastructure
• Order and manage circuit extensions/cross-connects from carrier demarcation points to the firm’s cage and equipment
• Manage collocation sites at financial exchanges
• Maintain network diagrams and associated network documentation
• Upgrade network hardware and software, as required
• Manage providers to resolve connectivity related invoice discrepancies and faults
• Ensure that vendor SLA’s are met

Requirements

• Engineering degree in Information Technology, Computer Science, or a related field.
• Someone who is CCNA certification or who has done the CCNA & CCNP training course.
• Knowledge of Installation and Troubleshooting of Routers, Switches & Firewall
• Knowledge of Cisco, Arista, Dell Force 10
• Knowledge of Microsoft Office products including Outlook, Excel, and Word.
• Excellent communication skills.
• We hire for Aptitude, Character, and Enthusiasm. We are looking for associates who are eager to learn and move up as the firm grows.
• Strong Network Engineering/Support knowledge.
• Good understanding of Unicast and Multicast LAN/WAN using EIGRP. OSPF, BGP, PIM-SM and IGMP
• Good Co-Location skills: exchange/connectivity/campus
• Good vendor technology knowledge: Cisco and Arista
• Ideally worked in a Low Latency trading environment (low latency WAN)
• Ability to not only troubleshoot complex problems but also to manage projects, design solutions and deliver technology implementations.
• Any knowledge of scripting/automation is desirable, as is performance, capacity and monitoring using packet analyzers such as Wireshark.
• Strong knowledge of network fundamentals (TCP/IP, ARP, IP Tables, routing).
• Excellent analytical skills, coupled with a strong sense of responsibility, urgency and drive.
• Experience with network security, including firewalls Fortinet/Palo Alto/CheckPoint would be a plus

Dolat Capital, a quantitative trading firm is looking for a Data Center Engineer to join our systems and infrastructure team. A well-planned and well-orchestrated cabling and racking infrastructure are just as important to us as well-engineered trading application.

We are looking for an Engineer who has a drive for improvement and a want to bring new ideas to the table. This is a chance to take ownership of the physical part of our trading infrastructure across multiple data centers and hundreds of servers, all the while striving for simplicity and operational excellence.

Responsibilities

You will be in charge of maintaining our co-locations and on-site data center

• Installing and cabling switches, servers, and appliances in our onsite data center
• Prepare hardware equipment for remote site deployments
• Build out and maintaining our office infrastructure environment, including our trading floor
• Replacing hard drives/memory/transceivers and other hardware related tasks as required by our server and network teams
• Getting equipment to and from remote colocations including packing
• Facilitating installation of servers and network equipment with smart hands in remote co-locations
• Managing power and space including monitoring and capacity planning
• Maintaining a consistent and clean cable management philosophy
• Managing equipment inventory
• Maintaining data center documentation
• Responsible for maintaining detailed documentation of all deployed IT assets using an internal database
• Co-ordinate with technicians in our remote sites to troubleshoot network related issues
• Propose and implement methods of general site improvement
• Install, upgrade, configure and maintain network equipment, servers and Operating Systems
• Troubleshoot and resolve hardware, software, and Layer 1 and 2 connectivity problems
• Co-ordinate with service providers for the installation and activation of new services
• Remotely provide technical support to 3rd party contractors various tasks
• Document system problems and resolutions for future reference
• Available for emergency remote troubleshooting after hours
• Assisting with planning moves or new build-outs

Qualifications

• Minimum 2 years of work experience in a similar role within the data center industry, a Bachelors degree in Engineering
• Experience working in a modern, large-scale data center
• Attention to detail and cleanliness
• Ability to identify basic parts of network equipment – SFPs, line cards, chassis
• Ability to identify basic parts of servers – memory, network card, hard drives
• Knowledge of structured cabling systems using cat 5, cat 6, multi-mode and single-mode fiber
• Familiarity with both power and communications cabling standards
• Experience configuring and using cable testers for both fiber and copper to troubleshoot cabling issues
• An understanding of change control processes
• Strong documentation and logistics mentality
• Extensive knowledge in computer networking, troubleshooting and analytical skills in a fast-paced and continually evolving environment
• Research and apply advancements in IT to existing system environments
• Experience installing, configuring, and maintaining various hardware, software platforms, and hands-on hardware and software troubleshooting experience
• Adept at identifying and solving problems at various levels of internetworked computer systems
• Sound technical knowledge of current network hardware, network management concepts, LAN and WAN networking, Windows and Linux Operating Systems, Virtualization
• Prioritize and execute tasks in a high-pressure environment