Quant Developer
MPG Operations LLC · New York, NY
Experience must include
Python programmingPython and SQLfinancial analytic programsquantitative modelstrading issues debuggingduckdbpyarrowGitPostgreSQLcode optimizationcode reviewsunit testing
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Application instructions (verbatim)
To apply please send resume to recruiting@mlp.com and reference job code "0705" when applying.
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Application instructions (verbatim)
To apply please send resume to recruiting@mlp.com and reference job code "0705" when applying.
Full posting text
Quant Developer MPG Operations LLC — New York, NY Job Duties: The Quant Developer (multiple openings) at MPG Operations LLC in New York, NY will develop, maintain, and improve Millenniums core trading engine. Provide ongoing support and troubleshooting for existing trading systems. Design and implement trade automation systems to enhance trading efficiency and effectiveness. Work closely with traders, researchers, and other developers to understand requirements and deliver solutions. Participate in code reviews to ensure the highest quality of code and adherence to best practices. Guide and mentor junior team members, overseeing testing approaches, design and development timelines for high performance, scalable systems. This position may involve work at unanticipated Millennium locations in the United States. Salary: $150,000 - $200,000 per year. Minimum Requirements: Requires a Masters degree in Finance, Financial Technology, or related field, plus 1 year in a Python programming, or related, occupation in the financial or investment industry. Must include 1 year of experience with each of the following: 1) develop financial analytic programs, implement quantitative models, and debug trading issues using Python and SQL; 2) duckdb, pyarrow, Git for version control, and PostgreSQL for database querying and data management; 3) code optimization, code reviews, unit testing, and code maintenance; 4) financial time series analysis; 5) factor models, scenario analysis, and statistical modeling using Python libraries including pandas, NumPy, SciPy, and statsmodels; 6) equity markets and index methodologies, including index construction or rebalancing concepts; 7) trading technology for a global equities index rebalancing book and developing index research technology; and 8) backtesting engines for quantitative strategies. https://mlp.eightfold.ai/careers/job/private?domain=mlp.com&pid=755958701558 To apply please send resume to recruiting@mlp.com and reference job code "0705" when applying. #LI-NDI #LI-DNI #LI-DNP #INDdni
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