Remote Jobs at DV Trading

Candidates should possess a Bachelor's degree in Computer Engineering or a related field, along with more than 5 years of experience in Linux engineering, debugging, administration, and OS system provisioning, including expertise with PXE/DHCP/TFTP/Grub, and extensive experience with configuration management at scale. Proficiency in system/network tools and services such as EBPF, tcpdump, strace, nmcli, systemd, ntp/ptp, lsof, nc, nmap, and NFS/S3 storage is also required.

Candidates should possess a Bachelor's degree in Computer Engineering or a similar field of study and have at least 5 years of experience in Linux engineering, debugging, administration, and OS system provisioning, including expertise with PXE/DHCP/TFTP/Grub, along with extensive experience in configuration management at scale and proficiency in system/network tools such as EBPF, tcpdump, strace, nmcli, systemd, ntp/ptp, lsof, nc, nmap, and NFS/S3 storage.

Candidates must possess a minimum of three years of experience working within a proprietary trading firm or hedge fund, with at least one year specifically in a risk-taking role. They should demonstrate the ability to clearly articulate their trading strategies and provide validation, alongside superb analytical and mathematical skills.

Candidates must possess an advanced degree in Mathematics, Statistics, Economics, Finance, or a related field, such as a Master's degree (MSc) or a PhD. They should have experience and knowledge of AI/ML and LLM models and technologies applied to Finance and Trading, along with proficiency in programming languages including Python, SQL, and C++. Prior experience in a quantitative role within a trading environment is a plus, as is experience solving data-intensive problems and demonstrated abilit…

The ideal candidate should possess 5+ years of experience in risk analytics or a similar role within a financial institution, along with strong programming skills in Python and SQL, and preferred experience in Django and a JavaScript framework. A master’s degree in a data-intensive field such as Data Science, Quantitative Finance, Mathematics, or Engineering is preferred, and a Bachelor’s degree in Finance, Economics, Accounting, or a STEM field is required. Experience working with third-party r…