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$120k–$240k/yr
Anthelion Capital is an investment and data science platform. We augment our fundamental investment core with data science to make investments across the capital structure. We are building a proprietary platform that run…
Skills: Python, Systems Programming, Quantitative Finance, Data Engineering, Portfolio Optimization
New York, New York, United States · Hybrid
$120k–$240k/yr
Anthelion Capital is an investment and data science platform. We augment our fundamental investment core with data science to make investments across the capital structure. We are building a proprietary platform that run…
Skills: Predictive Signaling, Statistics, Machine Learning, Python, Data Engineering
New York, New York, United States · Hybrid
$35/hr–$41/hr
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Cortlandt Manor, New York, United States · Hybrid
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New York, New York, United States · Hybrid
$105k–$138k/yr
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$90k–$115k/yr
King & Spalding is a leading global law firm with a commitment to excellence, innovation, and the seamless delivery of legal services. We harness innovative technology and exceptional talent to meet the complex needs of …
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New York, New York, United States · Remote OK
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Talos: Institutional Fabric for Digital Asset Markets Founded in 2018, Talos provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem…
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Serving the needs of all families with young children, Carter’s Inc. is the largest North American apparel retailer exclusively for babies and young children, encompassing Carter’s, OshKosh B’gosh, Skip*Hop and Little Pl…
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Carmel, New York, United States · On-site
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Albion, New York, United States · On-site
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Rochester, New York, United States · Hybrid
$36/hr–$40/hr
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Rochester, New York, United States · On-site
$18/hr–$26/hr
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Syracuse, New York, United States · Hybrid
$22/hr–$37/hr
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Binghamton, New York, United States · On-site
$18/hr–$20/hr
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Own and build the end-to-end quant engineering platform, including the shared data layer, backtester, and model deployment pipeline. Support portfolio managers with strategy diagnostics, scenario analysis, and allocation tools.
Requires strong software engineering skills in Python and a systems language, combined with a solid grounding in quantitative finance. Candidates must have data engineering experience and a platform-oriented mindset for building self-service tooling.
Anthelion Capital is an investment and data science platform. We augment our fundamental investment core with data science to make investments across the capital structure. We are building a proprietary platform that runs the full investment lifecycle, from underwriting to portfolio management.
What you'll do. Own the quant engineering platform, end to end. You'll build and own the infrastructure our researchers and PMs depend on — the shared data layer, the backtester, the deployment path, and the monitoring that keeps live models honest. Quant developers and researchers sit side by side and write against the same systems, so what you build gets used the day you ship it.
· The shared data layer — market and reference data ingestion, the feature/signal store, and the Dagster asset graph that orchestrates them, all point-in-time correct. This is the main overlap with research — you'll build it as shared, self-service infrastructure that researchers extend too.
· The backtesting and simulation engine.
· The portfolio-construction and optimization libraries PMs allocate through.
· The model deployment pipeline: promoting a model from research to production by configuration, not by rewriting.
· Monitoring and observability for live models and pipelines — the first line of defense when something drifts or breaks.
You'll also get exposure to risk-factor modeling and exposure analytics, and direct portfolio-manager support — strategy diagnostics, scenario analysis, and allocation questions.
· New grad through experienced hires.
· Strong software engineering: Python plus at least one systems language, good design instincts, and the ability to build tooling other people depend on.
· Solid grounding in quantitative finance — you understand what a Sharpe ratio, a risk factor, a backtest, or a portfolio optimizer actually means and why it's built the way it is, not just how to implement it. This is a quant + developer role.
· Data engineering chops — pipelines, correctness under time (as-of-date / point-in-time), reliability.
· A platform mindset: repeatable, guard-railed, self-service tooling over one-off scripts.
· Nice to have: Dagster/Prefect, Azure, model-registry or feature-store experience, prior work at a quant/trading firm or a serious data platform, hands-on risk-modeling or portfolio-construction experience.
Compensation: Base salary of $120,000 to $240,000 depending on experience. Eligible for performance based discretionary bonus.
Location : Onsite in Midtown, New York City at least 3 days per week.
Other : Must be authorized to work in the United States without employer visa sponsorship.
Our mission is to seek to deliver excess risk-adjusted returns by leveraging our AI software platform and data science team in private markets and to provide flexible capital to companies. In 2018, we partnered with Cowen Inc. to launch Cowen Sustainable Investments. In December 2023, co-founders Vusal Najafov and Ewa Kozicz reacquired the firm and rebranded it back to Anthelion Capital. We continue to innovate our software platform leveraging the latest AI technology. This platform is leveraged for credit underwriting and portfolio management for broadly syndicated bank loans and direct lending investments. It also provides key insights to our portfolio companies. Anthelion Capital is primarily backed by large institutional investors including pension plans and sovereign wealth funds. Anthelion also acts as the investment manager for Alphite Capital, a specialty finance company focused on middle market and broadly syndicated bank loans. As of September 30, 2025, Anthelion has ~$3bln in assets under management. For more information, visit www.anthelioncap.com
Offices: New York, NY, US · Miami, FL 33133, US
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