Man GroupLondon Stock Exchange: EMG: Global alternative investment management and systematic trading services.
2+ YOE2+ years software engineering experience; strong Python, Pandas/NumPy, testing (pytest), Git and Linux skills; financial services experience; experience with AI/LLM tooling; ability to engage stakeholders and operate production systems.
New York City or San Francisco or Los Angeles or United States or Canada
$175k-$200k/yrRemoteFull Time
Gauntlet: Provides risk management and yield curation for DeFi protocols.
2+ YOEExperience building production quantitative systems, strong Python and software-engineering skills, applied quantitative and optimization skills, SQL and data pipeline experience, production ownership and clear technical communication.
Anthelion Capital: AI-powered investment firm specializing in private credit and data science.
Strong software engineering (Python + one systems language), quantitative finance knowledge, data engineering and platform experience; Dagster/Prefect, Azure, model-registry or feature-store experience preferred.
Kalshi: Regulated financial exchange for trading on real-world events.
2+ YOE2+ years experience, strong math/stats/quant finance background, comfortable with derivatives and risk/VaR, hands-on with Python and ML, strong quantitative degree, independent problem solver.
Injective Labs: Develops core infrastructure for the Injective blockchain ecosystem.
3+ YOE3–5 years of quantitative research/analysis or development experience; experience in high-frequency trading development; strong math, stats, and programming skills.
Webster FinancialNYSE: WBS: Provides regional commercial and consumer banking and financial services.
10+ YOE10+ years of engineering, data engineering, analytics, or quantitative modeling in banking; experience with databases, Python/SAS/R, workflow orchestration, CECL/credit analytics, and strong communication skills.
Oracle, SQL, Python, SAS, R, Apache Airflow, Tableau, Qlik Sense
Dubai or London or New York or United Arab Emirates or United Kingdom or United States or Europe or Asia
OnsiteFull Time
AlgoQuantNSE: ALGOQUANT: Quantitative trading firm specializing in digital asset management.
Strong mathematical/statistical background, experience with statistical learning and ML/DL, proficiency in Python (C++/Rust a plus), end-to-end research and production deployment, strong data-quality rigor; PhD or top-decile graduates preferred.
Senior Quant/ML Engineer - Fixed Income - Artificial Intelligence
New York, New York, United States
OnsiteFull Time
Bloomberg: Delivers financial data, news, and software to global markets.
3+ YOEPhD in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Machine Learning; 3+ years Fixed Income valuation experience; production ML/statistics experience; strong data analysis; programming skills; publications a plus.
Hudson River Trading: A quantitative firm using technology to trade global financial markets.
Degree in a quantitative field, strong math/optimization skills, Python proficiency, experience with numerical/ML libraries, familiarity with optimization techniques and finance/funding concepts.
Associate Director, eFI Quant Trading, New York, NY (262856)
New York City, New York, United States
$225k/yrOnsiteFull Time
ScotiabankToronto Stock Exchange: BNS: Provides global personal, commercial, and investment banking services.
5+ YOEBachelor's in CS/Engineering/Math/Physics required; 5+ years in fixed income market making; strong C++, Python, data platform (KDB/Q, SQL) and numerical library (Pandas, NumPy) skills; ML framework experience; strong math and communication.
Mitsubishi UFJ Financial GroupNew York Stock Exchange: MUFG: Global financial group providing diverse banking and investment services.
Experience in server-side development for pricing, risk and simulation systems; strong programming in Java/C#/C++/.NET/Python/SQL; knowledge of XVA, pricing theory, and financial instruments; MS preferred in quantitative field.
Java, C#, M#, C++, .NET, Python, SQL, R, MATLAB, Microsoft Excel, VBA, SAS, Financial Risk Analytics (FRA), AWS, Azure, Hadoop, Docker, Junit, Linux, Microsoft SQL Server, Bloomberg API, MarkitWire API
Five Rings: Proprietary trading firm developing quantitative strategies for global markets.
Strong C++ development on Linux, ability to build distributed trading systems, collaborate with engineers, traders, and quants, and translate quantitative models into production code.
Millennium Management: Global alternative investment firm managing diverse investment strategies.
3+ YOE3+ years as a financial engineer/data scientist/quant developer; strong Python and/or C++, Java, C#; SQL and PL-SQL/T-SQL; experience with Airflow, ETL, Linux, GitHub, CI/CD; Ph.D. or Masters in a quantitative field.
MDOTM: Develops AI software for institutional investment and portfolio management.
Degree in finance/quant finance/financial engineering/math or related; understanding of portfolio construction, asset allocation, and risk management; strong Python and Java skills; experience validating ML models; fluent English.
London Stock Exchange GroupLondon Stock Exchange: LSEG: Provides financial market infrastructure and global data analytics services.
5+ YOE5+ years financial services/management experience preferred; deep knowledge of quantitative data/feeds; ability to develop and execute sales strategy, present solutions, lead teams, and translate market trends into business plans.