What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor’s degree. At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Location is New York City: $156,596 - $184,748 for Senior Machine Learning Engineer Location is San Francisco, California: $165,896 - $195,720 for Senior Machine Learning Engineer Remote roles in other areas of New York & California, and across Colorado & Washington: $132,699 - $156,555 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

JOB DESCRIPTION The Senior Blockchain Analyst for the Blockchain Lab will lead projects related to the Lab's initiatives and related collaboration efforts with both internal and external stakeholders. Responsibilities for this position include leading the development of the strategy and structure for: analyzing data from blockchain network nodes or market sources, exploring the development of new regulatory tools, and on-boarding blockchain vendor capabilities. The Senior Blockchain Analyst will provide thought leadership and, under the direction of the Senior Director, guide the efforts of the research team and closely partner with other teams within FINRA to provide training and strengthen oversight capabilities across the organization on areas related to blockchain technology. Essential Job Functions: Lead efforts to design, test, and operate new regulatory tools. Lead research on crypto projects or market developments and communicate to internal and external stakeholders through various forums and media. Serve as an expert on blockchain vendor capabilities and manage process of selecting and on-boarding of platforms beneficial to FINRA. Lead the formation of analysis, written summaries, presentations and commentary designed to inform decision makers of information pertaining blockchain technology and related regulatory impact. Serve as an expert on market developments related to blockchain technology and as resource for both internal and external constituents. Query, analyze, visualize data ingested from blockchain networks or market sources as part of POC, bespoke or ongoing projects. Provide crypto-asset training to FINRA teams to deepen expertise across the organization. Represent FINRA in external forums. Other Responsibilities: Other duties as assigned. Education/Experience Requirements: BS/BA in a related field is required; Graduate degree [MBA or Professional degree] preferred. Preferably in Business, Finance, Economics, Applied Math or related fields with some quantitative training. Minimum of at least 7 years of relevant experience. Experience conducting and developing the structure for research into crypto projects, protocols, market developments. Experience in overseeing or leading a technical project, program and/or practice area. Experience in overseeing or leading efforts to develop structure and strategy for data analysis and modeling, creation of dashboards or other visualization methods. Experience collaborating across business teams and optimize tasks to create business value. Self-motivated and entrepreneurial individual that can work in an experimental setting. Excellent interpersonal communication, writing and presentation skills, including facility with PowerPoint. Expertise in blockchain market including knowledge of on and off-chain platforms for issuing and trading of crypto assets. Preferred Experience: Knowledge of crypto analytics tools a plus, for example for forensic analysis or market surveillance. Experience with SQL a plus. Working Conditions: Will work in a hybrid environment both office and remote. For work that is performed in CA, CO, New York, NY and WA, the chart below outlines the proposed salary range for the corresponding location. In addition to location, actual compensation is based on various factors, including but not limited to, the candidate's skill set, level of experience, education, and internal peer compensation comparisons California: Minimum Salary $131,200, Maximum Salary $277,800 Colorado: Minimum Salary $119,400, Maximum Salary $231,400 New York, NY: Minimum Salary $143,200, Maximum Salary $277,800 Washington: Minimum Salary $119,400, Maximum Salary $266,200 #LI-Hybrid To be considered for this position, please submit an application. The information provided above has been designed to indicate the general nature and level of work of the position. It is not a comprehensive inventory of all duties, responsibilities and qualifications required. Please note: If the "Apply Now" button on a job board posting does not take you directly to the FINRA Careers site, enter www.finra.org/careers into your browser to reach our site directly. FINRA strives to make our career site accessible to all users. If you need a disability-related accommodation for completing the application process, please contact FINRA's accommodation help line at 240.386.4865. Please note that this number is exclusively for inquiries regarding application accommodations. Employees may be eligible for a discretionary bonus in addition to base pay. FINRA also provides a variety of benefits including comprehensive health and welfare benefits, life and disability insurance, paid holidays, vacation, personal, and sick leave. FINRA offers immediate participation and vesting in a 401(k) plan with company match.

About the job In This Role You Will Be Responsible For Risk and fraud Management is a core function of Payments and with the emerging crypto regulatory policies, this will become even more important in blockchain. In this role, you will build functionality and solutions that enables Ripple to measure, manage and project our liquidity risk, market risk, and credit risk. Your work will be key in establishing Ripple as an industry leader in risk and identity management in crypto. Manage the strategy and successful delivery of the risk and identity platform that powers the workflows of Ripple’s innovative Risk, Compliance and Privacy functions Lead and Drive vision, roadmap, and development of next generation of risk and compliance platforms for all of our payments products Work closely with the business stakeholders across Risk, Compliance, Legal & InfoSec to understand the business needs, come-up with creative solutions and provide the best customer experience Partner closely with Ripple’s policy and security teams in assessing commercial and regulatory requirements to meet future growth Synthesize product ideas from cross-functional teams and other Risk counterparts such as Product, Operations and Data Science. This person will bring strong and inclusive leadership skills as they will need to collaborate heavily with cross-functional internal teams and with the risk and compliance ecosystem of partners and customers. What We’re Looking For 5+ years of product management experience with top payments, internet, enterprise software and/or financial services companies 3+ years of experience with KYC/KYB, AML, compliance, fraud prevention, or identity solutions Ideally someone who holds CAMS (Certified Anti-Money Laundering Specialist) accreditation Or has held a role in a Compliance Oversight Function e.g CF10 or equivalent Proven track record of leading and influencing a Product-driven organization A passion for payments and a strong interest in the blockchain and crypto ecosystem Ability to work with internal and external risk, privacy, and compliance teams Who We Are Ripple is doing for value what the internet did for information: enabling its instant and seamless flow around the world. We call this the Internet of Value (IoV). Using blockchain and cryptocurrency technology, Ripple is dedicated to creating powerful gains in financial efficiency, equity and inclusion. In addition, Ripple is developing and enabling the future use cases that will catalyze the new digital economy for governments, businesses and consumers. Ripple has offices in San Francisco (HQ), New York, London, Mumbai, Singapore, São Paulo, Toronto, Reykjavík, Washington D.C. and Dubai. Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. Ripple is Flexible First: you have the option to work remotely, from our offices, or a combination of the two within the 11 countries we are located around the world. Weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team off-sites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Bonus Flexibility Program: Participants in the Corporate Bonus Plan have the option to elect to receive their annual bonus in cash, equity or XRP, or a combination. 100% paid medical and dental and 95% paid vision insurance for employees starting on your first day 401k (with match) Commuter benefits Employee giving match Mobile phone stipend Take Care of Yourself Twice a quarter R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Flexible vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.