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Fraud Analysis Jobs

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Fixed-Price - Expert ($$$) - Est. Budget: $5 - Posted
We are looking to develop a new solution in the lead generation space and require someone with the skills to find the flaws with existing tech and propose fixes and develop new tech based on those fixes. You would be working with technology related to fraud detection, and you should have a data science and coding background. NDA is required. This will become a long term position that requires constant monitoring and updating of tech. ---List of desirable skills--- Experience building predictive models, beyond regression analysis (e.g. random forests, support vector machines, etc.) Proficiency in R Proficiency in SQL and experience with at least one high level programming language such as C++ Experience with Hadoop or Spark Knowledge of more advanced topics such as optimization, multivariate analysis, text analytics, etc. Experience with HTML, CSS and JavaScript At least one general-purpose object-oriented programming language such as PHP, Python, Scala, Ruby, Java, C# or C++ Experience with database design and queries (relational or NoSQL) Experience with version control systems (e.g. Git, SubVersion) Object-oriented design Experience with basic internet protocols (e.g. HTTP, TCP/IP, etc.) Scala Functional programming paradigms and languages Apache Kafka or other message broker systems Mobile development (HTML5/JS, Android, iOS) Non-blocking-IO web frameworks such as Node.js, Play UI or UX design skills Cloud services such as AWS, Azure, Google, etc. MySQL NoSQL document databases such as DynamoDB, MongoDB, Couchbase Text databases such as Elasticsearch In-memory caches such as memcached Key-value stores such as Redis or Riak Star schema design OLAP ETL processes & tools Business Intelligence (BI) technologies Data analysis techniques Statically-typed and dynamically-typed languages Shell scripting Low-level network protocols Performance engineering High-throughput, low-latency, high-concurrency systems NGINX Linux server administration RESTful web services Automated build tools CI servers such as Jenkins Provisioning tools such as Chef, Puppet, Saltstack Query performance optimization Design patterns (GOF, etc.) Scalable web deployment patterns: reverse proxy, load balancer, CDNs, etc. Practices such as DDD, TDD, ATDD, BHD, etc. Automated testing tools Agile methodologies such as Scrum, Kanban, XP Passionate about your art
Skills: Fraud Analysis C++ Fraud Mitigation JavaScript
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