Senior Software Developer, Electronic Trading (Low-Latency, C++) at BestEx Research

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Low-Latency, TCP/IP, Multithreading, Software Design, System Architecture, Algorithmic Trading, Exchange Simulators, Backtesting, Market Data Adaptors, Performance Optimization, Python, R, SQL

Industry

Financial Services

Description

About BestEx Research BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model. Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including transaction cost analysis (TCA), an algorithm customization tool called Strategy Studio, a trading dashboard, and pre-trade analytics in a single platform. The platform is currently live for U.S., Europe, and Canadian equities and global futures trading. BestEx Research is disrupting a $100 billion industry by challenging the status quo of stale, black-box solutions from banks and offering next-generation execution algorithms that combine performance improvement with transparency and customization. BestEx Research uses leading-edge technology to support its low-latency, highly scalable research and trading systems, with its backend in C++, research libraries in C++/Python and R, and web-based technologies for delivering its front-end platforms. BestEx Research’s mission is to become the leader in automation and measurement of execution across asset classes globally and significantly reduce transaction costs for our clients. Visit bestexresearch.com for more information about our mission, products, research, and services. Why Join Us? BestEx Research’s Bangalore office is not an “offshore center.” It’s a core engineering and research hub, working on the exact same problems and projects as our U.S. team. You will be part of the global brain trust, solving some of the hardest problems in trading, systems, and data science. What You’ll Love: · Zero bureaucracy, zero silos—engineers directly collaborate with traders, researchers, and the management team. · Direct ownership of subsystems. · Daily opportunity to learn from pioneers in HFT, low-latency systems, and algo trading. · A high-trust environment, where performance speaks louder than hierarchy.. · Competitive compensation in India, including equity and cash bonuses. · Ability to transition between various teams and projects, whether related to trading systems, algorithmic trading or system tooling · 5-week structured training program: o Market microstructure and trading mechanics o Algorithmic execution and strategy design o Exchange simulators and performance testing o Market data systems and real-time analytics o Hands-on exercises using production research data · Continuous professional development, with refresher courses, advanced sessions, and on-demand training tailored to your growth. · Global exposure: Opportunities to collaborate with, visit, or relocate to our U.S., Singapore, or London offices, based on performance and business needs. Your Role: Build What Most Engineers Never Get to Touch You’ll be part of a lean, focused team building ultra-low-latency trading systems, real-time exchange simulators, execution algorithms, and alpha forecasting models. Our engineers own the stack—from C++ nanosecond-sensitive infrastructure to Python-based research platforms. This role is ideal for someone who thrives at the intersection of research and engineering—comfortable building systems, testing hypotheses, and working directly with data that moves markets. What You’ll Work On Designing and developing system architecture: · Core trading systems and algorithmic trading frameworks · High-performance execution algorithms for global markets · Exchange simulators and tick-level backtesting frameworks · Market data adaptors and exchange connectivity adaptors Building from scratch: · Trading systems for new asset classes and execution algorithms · Performance optimizations for low-latency, high-throughput systems Enhancing existing systems: · Add support for new features and improve scalability and reliability Collaborating closely with: · A global team of quants, traders, and senior engineers to design cutting-edge solutions Analyzing and optimizing system performance: · Across application, OS, and hardware layers to achieve industry-leading performance · Work primarily with C++17 in a high-impact, low-bureaucracy environment You Should Have: · Bachelor’s or Master’s from a top-tier CS or Engineering program (IIT/NIT/BITS preferred but not required) · At least 5+ years software development experience with C++ · Expert-level knowledge of C++ and excellent software design skills · Expert-level knowledge of TCP/IP and multithreading · Excellent problem solving and analytical skills · Excellent communication skills and ability to articulate ideas · An attitude of constant curiosity and growth, as well as the ability and desire to mentor others · While domain experience is a plus, we welcome strong engineers from other industries Bonus Points For · Database optimization and experience with research or market data pipelines · Prior work on trading platforms, FIX engines, or exchange protocols · Contributions to open-source C++/Python performance tools, ability to work with large datasets · Prior experience developing trading systems or execution algorithms · Knowledge of relational databases, database optimizations, and SQL. · Experience with Python/R #LI-JM1

Responsibilities

The role involves designing and developing system architecture for core trading systems, algorithmic trading frameworks, and high-performance execution algorithms for global markets. Responsibilities also include building trading systems for new asset classes and optimizing performance across application, OS, and hardware layers.