Search by job, company or skills

Millennium

Software Engineer

Millennium
Bengaluru, India
3-5 Years
Save
  • Posted a month ago
  • Be among the first 10 applicants
Early Applicant

Job Description

About Millennium

Millennium is a global investment management firm built on a scalable, technology-driven platform. We run a diverse set of investment strategies and empower our teams to deliver exceptional outcomes by providing world-class tools, infrastructure, and data.

Team & Role Overview

The Latency-Critical Trading team is building a best‑in‑class systematic data platform to power the next generation of low‑latency systematic strategies. The team includes low‑latency Linux, network, datacenter, and C++ engineers focused on our end‑to‑end trading stack.

Key Responsibilities

  • Monitor and assess the quality of live and historical market data; detect, inventory, and remediate data gaps.
  • Maintain and document exchange session times, holiday schedules, timestamp rules, and protocol/microstructure changes.
  • Analyze latency, data rates, bursts, and message flows to understand microstructure behavior and system performance.
  • Clean, transform, and manage an inventory of large‑scale datasets (including PCAP/PCAPNG) in a hybrid cloud/on‑prem environment.
  • Build and improve tools for market data capture.
  • Work with vendors and brokers to assess and provision datasets.
  • Build and improve tools for data analysis, visualization, and diagnostics on top of captured market and network data.
  • Enhance and extend C++ analytics libraries and expose them within a Python environment for systematic research and alpha development.
  • Collaborate closely with portfolio managers, quantitative researchers, and engineers to translate trading use cases into robust data and tooling solutions.

Qualifications

  • Bachelor's or Master's in Computer Science, Mathematics, Statistics, Engineering, or another quantitative field, or equivalent experience.
  • 3+ years of experience in financial markets, electronic trading, or high‑frequency / systematic environments preferred.
  • Strong programming skills in Python, C++, and SQL; experience with R / MATLAB / SciPy stack / PyTorch or similar tools for data analysis.
  • Solid understanding of modern statistical testing methods and comfort working with large, noisy, real‑world datasets.
  • Experience with Linux, large‑scale data processing, and preferably network data (PCAP, timestamping, PTP) and low‑latency systems.
  • Strong problem‑solving skills, attention to detail, and effective communication with both technical and non‑technical stakeholders.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Investment Management
Employment Type:
Full time

About Company

Millennium

Job ID: 148664215

Jobs by Skill - IT
Jobs by Skill - Non IT
International Jobs
Last Updated: 03-06-2026 06:03:11 PM
Homejobs in Bengaluru / BangaloreSoftware Engineer

Similar Jobs

Software Engineer

Microsoft Corp
Bengaluru, India

Skills:

Network Engineering, PowerShell, Software Engineering, Scripting Languages, Python, Systems Administration

Software Engineer II

Akamai Technologies
Bengaluru, India

Skills:

Golang, UDP, Tcp, Dns, Http, Grafana, Redis, Docker, Postgres, MongoDB, Tls, Kubernetes, Python, Ip, Clickhouse

Senior Software Engineer, Full Stack, Geo

Google India
Bengaluru, India

Skills:

Algorithms, Java, Typescript, Javascript, Software Design, data structures, Python, Go

Senior Software Engineer

Oracle
Bengaluru, India

Skills:

System Programming, Algorithms, High Availability, Distributed Systems, Data Structures, Cloud Infrastructure, C Programming, Linux Internals, Storage File Systems Knowledge, Multi-threaded Concurrent Programming

Lead Software Engineer

Fidelity Business Services India
Bengaluru, India

Skills:

data engineering , Snowpipe, Data Modeling, Sql Performance Tuning, Python, AWS, User Access Management, Power Bi, Power Bi Desktop, Power Query, Dax, Azure, Embedding reports in portal environment, Snowflake Streams, SQL querying, CI CD for BI Data Pipelines, Security settings, Large-scale data visualization, Power BI Service, Semantic model development, Data Analysis, Snowflake data sharing, Snowflake data warehouse, RLS implementation, Custom visuals, Power BI governance, Security roles, M Language