Senior Software Engineer - Analytics Front Office at DRW

Chicago, Illinois, United States

DRW Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Trading, FinanceIndustries

Requirements

  • Extensive experience designing & operating low latency distributed systems at scale for critical business functions
  • Extensive experience in testing & test automation
  • Fluency in functional and object-oriented programming languages
  • Competency in using Git, CI/CD platforms, Docker and Kubernetes
  • Familiarity with more than one of: C#, Java, Python, and C++
  • Familiarity with databases such as: MSSQL, Postgres, Redis
  • Familiarity with Kafka/RabbitMQ or similar event-based platforms
  • Familiarity with data structures and design/analysis of algorithms
  • Possesses the ability and desire to learn, adapt and grow
  • Demonstrates personal humility, respect for others, and trust in their teammates
  • Capable of independently driving projects to completion but prefers collaborating with teammates
  • Excellent problem-solving and debugging skills, but even better listening and communication skills
  • Strong attention to detail, with a track record of leading and driving projects to completion

Responsibilities

  • Design, implement and operate low latency risk analytics systems as part of a highly capable team
  • Decompose complex functional requirements into coherent service designs that are efficient, simple to operate, and can be changed reliably
  • Providing on-call support as part of our teamwide rotation. We split on-call across the US and UK time zones to limit off-hours disruptions
  • Be a capable mentor who is eager to contribute their unique knowledge and perspective to advance the team’s capabilities

Skills

C#
RX
Python
C++
LINQ
low-latency systems
asynchronous programming
risk analytics

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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