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
求人ID:1310082
募集継続中
転職求人情報
職種
不正対策コンサルタント(データサイエンティスト)
ポジション
担当者〜
年収イメージ
応相談(経験・能力を考慮の上当社規定により決定)
仕事内容
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.
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.
必要スキル
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.
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.
就業場所
就業形態
正社員
企業名
監査法人系セキュリティーコンサルティング会社
企業概要
監査法人系セキュリティーコンサルティング会社
企業PR
業務カテゴリ
組織カテゴリ
備考
関連キーワード
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転職体験記
- 初めての転職、大手銀行から大手監査法人へ(20代/女性/私立大学卒)
- 外資系大手生命保険会社で再びシステム開発の業務へ(30代/女性/私立大学卒)
- チャレンジできる環境を求めて、インターネットメディアと人材ビジネスを手掛ける企業へ(20代/男性/私立大学院卒)
- 研究開発の経験を活かして、損害保険会社へ(40代/男性/公立大学卒)
- これまでのスキルを活かして、ホワイト企業認定取得の上場ソフトウェアテスト企業へ(40代/男性/専門学校卒)
- 希望を叶え満足の内定、大手運用会社でのシステムエンジニアへ(20代/男性/国立大学院卒)
- ITマネージャーの経験を活かして、外資系総合商社へ(40代/男性/私立大学院卒)
- システム担当としての経験を活かしつつ希望の勤務地へ、独立系投信投資顧問へ(40代/男性/私立大学卒)
- 希望を叶えて、日系大手証券会社へ(30代/男性/私立大学院卒)
- ITコンサルタントとしての経験を活かして、外資系大手試験・認証機関へ(40代/男性/海外大学卒)