大手監査法人グループでの不正対策コンサルタント（データサイエンティスト）の求人

AI, machine learning, data scientists with specific experience in fraud (e.g. chargebacks, account takeover, identity theft, insurance fraud, energy fraud and other related areas). Senior and Management positions are also considered based on experience.

The role will involve activities in the following areas:
Mathematics - Applying probability, statistics and calculus to reduce fraud by model building, model enhancing or deep quantitative exploratory analysis for production systems.
Engineering - The architecture and engineering necessary for high performance real-time mathematical compute on data to reduce fraud in production systems. This includes related engineering activities such as setting up and working in secure engineering environments.
Data - Collection, extraction, pre-processing, storing, organizing, securing and preparing data in all of it’s forms (e.g. structured, semi-structured, unstructured, text, image, video, audio, etc). Working with local or global compliance, security and legal to confirm the proper utilization of data in production systems.
Analysis This involves both processing and visualizing data to discover patterns (e.g. exploratory data analysis). Will work both internally and externally to measure or compare model performance.
Program Management Presentations, tracking, reporting, scheduling, cost analysis, budgeting, technical hardware and software specifications, on all activities.
Team Collaboration Working closely with other team members closely such as Quality Assurance Cross-Validation engineers, Quality Assurance Platform Engineers, other Engineering to ensure high quality deliverables, including, but not limited to, high return on investment, low false positive rates, high service level agreement, etc.

Experience:
7+ years data science experience in fraud, finance, fintech or biotech data science with contributions of at least 200MM JPY or equivalent currency annually.
Post-Doctorate / Ph.D. required for senior roles and M.S. or higher required for non-senior roles. Discipline in AI, ML, CS, EE, Mathematics, or Life Sciences.
Superior presentation and communications skills in front of business and technical audiences in order to influence or convince an action based on analysis.
7+ years experience coding with C, C++, Java, Python, or R, in Cloud, FPGA, GPU or Quantum, and providing those results with QA on strict contract deadlines.
A history of journal publications, conference talks, patents, company awards, news reports, academic or government grants of at least 100,000 USD or equivalent.