Job Description – AI HFT Developer
Location:
Bengaluru (Hybrid)
Department:
Quantitative Research & Trading Technology
About the Role
We are seeking an
AI High-Frequency Trading (HFT) Developer
to design, build, and optimize ultra-low latency trading systems powered by advanced AI/ML models. This role demands strong programming skills, deep market microstructure knowledge, and a passion for pushing the boundaries of algorithmic trading through data-driven innovation.
Key Responsibilities
-
Design and implement
low-latency trading algorithms
using AI/ML techniques (LLMs, reinforcement learning, deep learning).
-
Develop, test, and deploy
execution strategies
across equities, futures, crypto, and other asset classes.
-
Optimize system performance for
nanosecond-level latency
using advanced data structures, C++/Rust/Python, and GPU acceleration.
-
Research and integrate
AI/ML models
for price prediction, sentiment analysis, and order book forecasting.
-
Build and maintain
real-time market data ingestion pipelines
with millisecond-level throughput.
-
Collaborate with quantitative researchers and traders to
translate trading ideas into production strategies
.
-
Conduct rigorous backtesting, simulation, and
live PnL monitoring
of strategies.
-
Ensure compliance with
risk controls, regulatory requirements, and exchange protocols
.
Required Skills & Qualifications
-
Bachelor’s/Master’s/PhD
in Computer Science, Quantitative Finance, Engineering, or related field.
-
2+ years of experience in
HFT, algorithmic trading, or low-latency systems
.
-
Strong expertise in
C++/Rust/Java
(for latency-critical components) and
Python
(for research and ML pipelines).
-
Solid background in
machine learning, deep learning, reinforcement learning, or time-series modeling
.
-
Experience with
market microstructure, order books, FIX protocols, and exchange connectivity
.
-
Hands-on experience with
GPU computing (CUDA), FPGA optimization, or distributed systems
is a plus.
-
Knowledge of
cloud (AWS/GCP/Azure)
and
big data tools (Kafka, Flink, Spark)
for data engineering.
-
Strong problem-solving ability with an
entrepreneurial mindset
and drive for innovation.
Nice to Have
-
Experience in
crypto HFT/DeFi market making
.
-
Familiarity with
agentic AI
and
large language models for trading insights
.
-
Prior contributions to
open-source AI/quant projects
.
What We Offer
-
Exposure to cutting-edge
AI + trading innovations
.
-
Opportunity to work with a
world-class quant and AI team
.
-
Competitive compensation with
performance-linked bonus
.
-
A fast-paced environment that encourages
innovation and ownership
.