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Launched in 2019, Binance.US is the fastest growing and most integrated digital asset marketplace in the United States, powered by matching engine and wallet technologies license from the world’s largest cryptocurrency exchange – Binance. Our mission is to provide liquidity, transparency, and efficiency to financial markets by creating products that leverage crypto to unlock the power of everything. We build bridges between traditional finance and digital markets that enable growth for all—empowering the future of finance. Binance.US is operated by BAM Trading Services.
As our Senior Finance Data Analyst, you will be embedded into the Finance organization, working with and supporting the treasury & clearing teams on a day-to-day basis. The ideal candidate is a self-starter with a solid foundation in data science and experience in treasury and/or banking. You are not only strong in execution and delivery, but also comfortable in strategy and planning.
Responsibilities
- Assist with liquidity management dashboarding/reporting and forecasting for fiat and digital assets
- Reconcile payment vendor and bank fees to ensure accuracy of charges
- Report cash and crypto activity movements to/from exchange platform by payment channel and transfer type
- Investigate suspicious chargeback activity and assist in developing solutions for risk mitigation
- Summarize token balances by corporate wallets and provide concentration calculations in USD value
- Reconcile movement of company funds to/from staking products and calculation of rewards earned
- Assist in automation of money market rebate program
- Support analysis and evaluation of yield farming opportunities across DeFi protocols
- Aid in implementation of treasury management system
- Provide supporting data and reporting for customer accounts
- Create reporting on crypto liquidation to cover ACH returns
- Provide analysis for minimum cash and crypto needs to optimize funding
- Integrate TMS with BI tool and NetSuite
- Automate clearing reconciliation reports
- Conduct research and analysis on cryptocurrency custodial options
- Define and track key operational and financial metrics
- Assist FP&A Team with board & investor requests
- Collaborate with FP&A team for rollout of a planning tool
- Build dashboards, reports in ERP system and TMS, and predictive models in BI/planning tool
- Create and maintain management reporting dashboard with customer segmentation
- Ensure organization-wide data quality through actively maintaining a data inventory with the source of truth
- Support strategic initiatives through conducting data modeling and analysis
Requirements
- 5+ years experience working with Data Analytics
- Intermediate-level knowledge of SQL & Python; and preferably experience with using python libraries numpy, pandas, matplotlib, and seaborn
- Familiar with at least one BI tool (e.g. Tableau, Looker, Power BI)
- Experience manipulating large data sets in a distributed computing environment
- A passion for Emerging Technologies related to Blockchain, Machine Learning, and AI
- A desire and ability to think abstractly, solve problems and deal with ambiguity
- Familiarity with Financial Markets, Cryptocurrencies, Defi, Staking, and/or NFTs a plus
- NetSuite & TMS (e.g. Kyriba) implementation experience preferred
- Experiments and causal inference experience preferred
Binance.US is an Equal Opportunity Employer. Our mission is to give Americans access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Binance.US complies with Federal Transparency in Coverage regulations by providing this link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.
Kaiser Permanente
www.aetna.com
