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Senior Software Engineer - Risk Infrastructure Technology

Senior Software Engineer - Risk Infrastructure Technology
New York, US
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Job Description

The Role
We are seeking a highly qualified and talented technologist to join our Risk Technology team. Technology within Risk is split into four areas: Infrastructure, Applications, Financial Engineering and Rapid-Application- Development (RAD). The Infrastructure team within Risk is responsible for building industry-leading systems to generate, analyze, and report on streaming and historical data to enable quick decision making by our risk team, management team, and global portfolio managers.

_What you’ll do _

The Software Engineer will be responsible for helping deliver solutions that automate and optimize the risk management process in domains such as stress testing, equity multi-factor risk models, instrument and portfolio analytics, large scale data management, risk decomposition, and VaR. You will also participate in expanding platform capabilities based on rapidly changing business requirements as well as providing Level 3 support across the globe. The ideal candidate has a mindset of creatively applying the best modern technologies to help solve business problems.

What you’ll bring

What you need:

  • Expertise with Java and Python development
  • Experience with design and architecture
  • Experience with relational databases
  • Experience with messaging systems (Kafka preferred)
  • Experience working in the financial services industry
  • Excellent communication skills, both written and verbal
  • Strong ownership experience and a track record of delivering results

We’d love if you had:

  • Experience building systems in cloud services such as AWS
  • Experience working with risk management
  • Experience implementing streaming data service architectures
  • Experience and knowledge of:
    • Cloud data warehousing or technologies such as Redshift or Snowflake
    • Distributed compute technologies such as Apache Spark/Databricks, Apache Ignite/GridGain, etc.
    • Containerization and orchestration tools such as Docker and Kubernetes
    • DevOps methodologies such as CI/CD and build automation

Who we are

Schonfeld Strategic Advisors is a global multi-strategy, multi-manager investment platform that harnesses the transformative power of people to perform in all market environments. Our dynamic culture inspires better outcomes for our team, our investors, and our partners. We aim to consistently deliver risk-adjusted returns, with people driving performance.

We specialize in four core strategies: Quantitative Trading, Fundamental Equity, Tactical Trading, and Discretionary Macro & Fixed Income. We capitalize on inefficiencies and opportunities within the markets, drawing from a significant investment in proprietary technology, infrastructure, and risk analytics.

We invest through internal portfolio managers and external partner funds, pursuing alignment among investors, investment professionals, and the firm. Our footprint spans 7 countries and 19 offices.

Our Culture

Talent is our strategy. We believe our success is because of our people, so putting our talent above all else is our top priority. We are teamwork- oriented, collaborative, and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning & educational offerings and opportunities to make an impact.

We foster a sense of belonging among all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. Our employees value diversity across identity, thought, people and perspective which serves as the foundation of our culture. As a firm, we are committed to creating a hiring process that is fair, welcoming and supportive.

The base pay for this role is expected to be between $160,000 and $210,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

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