Systems Engineer at DRW

Chicago, Illinois, United States

DRW Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, TradingIndustries

Requirements

  • 3+ years of experience administering Windows Server or VMware and associated services
  • Experience using scripting/coding languages (i.e. PowerShell, Python, Terraform)
  • Experience with coding version control systems (Github, Gitlab, Bitbucket, etc)
  • Knowledge of network protocols and technologies
  • Must have excellent documentation and knowledge management skills, passion for turning ad-hoc actions into documented, repeatable processes
  • Experience maintaining/deploying/configuring server hardware and deploying virtual machines
  • Ability to troubleshoot and resolve critical production issues in a high-intensity trading environment
  • Excellent verbal and written communication skills
  • Proven ability to learn, and passion for learning new technologies
  • Be part of a global support team with on-call rotation, with weekend maintenance work as required
  • Previous experience working in the trading industry a plus
  • Basic knowledge of containerization/Kubernetes a plus

Responsibilities

  • Administer core Microsoft services including Active Directory, DNS, DHCP, Exchange/Exchange Online, Group Policy
  • Deploy and support Windows Server 2016-2025
  • Provide support for Microsoft cloud services such as Entra ID, OneDrive, Copilot, etc
  • Configuration of single-sign federation on using protocols such as SAML, OAuth/OIDC, and SCIM
  • Management and deployment of virtualization infrastructure (VMware ESX/vCenter)
  • Deploy and support Omnissa (VMware) Horizon VDI infrastructure
  • Triage and action operations work in a ticket queue
  • Support planned and ad-hoc changes initiated within and outside the team, following firmwide change management processes
  • Document systems and specialized configurations for ease of support within the team

Skills

Active Directory
DNS
DHCP
Exchange
Group Policy
Windows Server
Entra ID
OneDrive
SAML
OAuth
OIDC
SCIM
VMware ESX
vCenter
Omnissa Horizon
PowerShell
Python
Terraform
GitHub
GitLab
Bitbucket

DRW

Proprietary trading and risk management firm

About DRW

RGM Advisors engages in proprietary trading using its own capital to operate in various financial markets. The firm focuses on developing trading strategies that utilize advanced technology and data analytics to manage risk and pursue high returns. By serving institutional clients such as hedge funds and investment banks, RGM Advisors maintains a flexible business model that allows it to trade its own money, rather than clients' funds. This approach enables better risk management and the ability to generate revenue through trading profits, achieved by employing sophisticated algorithms and market-making strategies. RGM Advisors is distinguished by its global presence and its commitment to attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.

Chicago, IllinoisHeadquarters
2001Year Founded
M_AND_ACompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Daily catered breakfast & lunch
Massages
Social events
Gym subsidy
Flexible work arrangements
Monthly tastings
Game room
On-site yoga classes and meditation
Employee led affinity groups
Mentor/mentee outings
Trivia nights
Educational opportunities
DRW-sponsored sports teams
Poker tournament
Private mother's suite

Risks

Increased competition from algorithmic trading firms may erode DRW's market share.
Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.
Talent war in tech and finance sectors may impact DRW's ability to retain top talent.

Differentiation

DRW combines technology, research, and risk management for diversified trading opportunities.
They operate using their own capital, allowing quick pivots to capture opportunities.
DRW has expanded into real estate, venture capital, and crypto-assets.

Upsides

Machine learning algorithms enhance predictive accuracy and risk management in trading.
DeFi platforms offer new opportunities for higher returns in crypto-assets.
Quantum computing revolutionizes trading strategies with faster, complex data analysis.

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