4 дня назад
Software Engineer (Python/SQL)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Python/SQL): Building and modernizing inbound clearing pipelines, automated financial reporting tools, and operational data systems with an accent on data normalization, reconciliation, and high-correctness workflows. Focus on re-architecting legacy pipelines, resolving data irregularities, and using AI-assisted development tooling to improve delivery quality and velocity.
Location: Onsite in Bala Cynwyd, Philadelphia Area, Pennsylvania, United States
Company
is a global quantitative trading firm combining financial markets expertise, engineering, machine learning, and quantitative research.
What you will do
- Re-architect and enhance inbound clearing pipelines to normalize data across asset classes, products, and clearing venues.
- Develop and maintain automated reporting tools for financing, margin, cash movements, and exposure.
- Drive reconciliation and data quality initiatives across positions, balances, and trades.
- Support daily clearing workflows and resolve data irregularities with Operations.
- Gather requirements and collaborate with Operations, Treasury, Trading, and engineering stakeholders.
- Use AI-assisted development tooling to improve delivery quality and velocity.
Requirements
- 3–6 years of hands-on software development experience.
- Strong Python and SQL fundamentals, including work with large structured datasets.
- Experience building data pipelines or data-intensive services.
- Experience developing high-correctness systems involving reconciliation, reporting, or similar workflows.
- Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, or a related field; relevant experience may substitute.
Nice to have
- Experience in clearing, settlements, treasury, or financial operations.
- Exposure to large-scale data platforms or distributed systems such as Hadoop, HBase, or Druid.
- Interest in automating manual workflows and building transparent operational systems.
Culture & Benefits
- End-to-end ownership of meaningful parts of the clearing and reporting platform.
- Opportunity to modernize legacy pipelines and expand analytics tooling.
- Collaborative, non-hierarchical environment with direct business impact.
- Active investment in AI tooling and its use in engineering work.
- Work closely with researchers, engineers, traders, Operations, and Treasury.
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