Non Tech Web3 Jobs in United States
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Crypto.com | United States | $100k - $200k | |||
Crypto.com | United States | $100k - $250k | |||
Hivemind Capital Partners | New York, NY, United States | $125k - $160k | |||
Perena | United States | $81k - $107k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Anza | United States | $140k - $150k | |||
Superlogic | Los Angeles, CA, United States | $72k - $110k | |||
Superlogic | Los Angeles, CA, United States | $72k - $110k | |||
Iopa Solutions | United States | $72k - $110k | |||
Injective Labs | New York, NY, United States | $105k - $120k | |||
Charles Schwab | United States | $165k - $175k | |||
Blockaid | New York, NY, United States | $31k - $110k | |||
Blockaid | New York, NY, United States | $68k - $75k | |||
Crypto.com | United States | $225k - $300k | |||
Mysten Labs | United States | $144k - $198k | |||
Matter Labs | United States | $88k - $101k |
Risk Manager, Nadex
United States
Engineering – Exchange /
Remote
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We are looking for a risk manager to join the Nadex Clearing Organisation. You will be contributing to the building of a fast-growth trading platform with innovative, multi-asset products bridging traditional finance (TradFi) and digital markets. For all roles, we look for people who are passionate about financial market innovation, equipped with energy, act as owners, and have exemplary work ethics.
Responsibilities
- Cover daily risk management responsibilities, ensuring the financial integrity, operational controls, and resilience of the clearinghouse across all listed asset classes.
- Manage and respond to regulatory requests, routine audits, and inquiries from governing bodies (e.g., CFTC, NFA, SEC).
- Oversee end-of-day settlement pricing processes and ensure the accuracy of cross-asset pricing data used for margin calculations and default management.
- Oversee the risk components of client onboarding and provide ongoing market, credit, and liquidity risk monitoring.
- Drive new product listing and product design from a clearing perspective, ensuring appropriate risk controls and cross-margining efficiencies are in place where applicable.
- Lead the design and implementation of margin models and default management/liquidation strategies for the Clearing House, stepping in during operational issues with clearing members.
- Perform quantitative research to evaluate default management procedures and systemic risk exposure.
Requirements
- 5+ years of relevant working experience in clearinghouse risk, default management, operations, or a related field (experience with a CCP is a strong plus).
- Degree or above in a quantitative discipline, with professional qualifications such as CFA and FRM an added advantage.
- Proficient in Python and SQL.
- Strong understanding of equities, commodity products, futures, perpetuals, and other derivatives, including robust knowledge of pricing, valuation, funding rates, and cross-asset risk correlation.
- Solid understanding of margin concepts, liquidations, Default Management frameworks, and direct trading experience (personal or professional).
- Familiarity with CFTC, NFA, and SEC regulations, specifically as they apply to clearinghouses and DCO rules, is a strong plus.
- Good organizational and interpersonal skills, and the ability to think critically and strive for continuous improvement.
- Deep familiarity with clearing house rulebooks, policies, and submission procedures required to maintain operational compliance and risk governance.
$100,000 - $200,000 a year
We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.
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