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Senior Software Engineer
VORKIS
- Oregon, Ohio, United States
- Oregon, Ohio, United States
À propos
$48,000 - $84,000 per year
Location:
Remote
Employment option:
Full time
Job Summary We are looking for a Senior Software Engineer with strong algorithmic and data processing expertise to join a global team working on a complex trade surveillance system in the financial sector. The project focuses on batch and real-time analysis of trading data, leveraging advanced algorithmic models to detect fraud, manipulation, and other compliance breaches.
Skills Must Have
Hard skills:
Beginner in: Python, C#; Competent in: Databases; Proficient in: JAVA
Soft skills:
Competent in: Communication Skills
Nice-to-have
Hard skills:
Competent in: Kotlin, RDBMS, C/C++, Compliance Expertise, FinTech, Software Design, Statistical Modeling, Algorithms, Mathematics, Machine Learning, Debugging, Trading, Distributed Computing, SOLID, Microsoft Clarity, Monitoring, Regulatory Compliance, Data Pipelines, Distributed Systems, Trade Surveillance
Soft skills:
Competent in: Reliability
Additional Requirements 5+ years of professional experience in backend or algorithmic development. At least 3 years working with algorithms in financial/trading systems or related fields. Strong proficiency in Java, Kotlin, C#, or C++. Solid understanding of software design principles and architectural patterns. Experience with real-time systems, distributed computing, and large-scale data pipelines. Proficiency with relational and non-relational databases. Excellent problem-solving and debugging skills. Strong interpersonal and communication skills. Python experience is a plus. Familiarity with statistical modeling and machine learning is an advantage. Bachelor’s degree in Computer Science, Mathematics, or related field (Master’s or PhD is a plus).
Responsibilities
Design and implement algorithms for real-time and batch monitoring of financial transactions.
Collaborate with data scientists and compliance experts to optimize detection models.
Contribute to system architecture design for high availability and low-latency performance.
Optimize and maintain an existing codebase for clarity, performance, and scalability.
Work with distributed systems and databases for high-volume data ingestion and processing.
Analyze performance bottlenecks and improve system reliability.
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Compétences linguistiques
- English
Avis aux utilisateurs
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