Sanjeev Sinha

執行役員 Member of the Board of Executive Officers at SBI Securities
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Contact Information
Location
Tokyo, Tokyo, Japan, JP
Languages
  • English Native or bilingual proficiency
  • Japanese Native or bilingual proficiency

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Anoop BILLANGWAL

Sanjeev is an individual with exceptional attributes. He has been highly successful in applying his strong academics into his profession.Now has ventured into entrepreneurism wherein he is making big efforts to collaborate indian talent with high tech Japanese technology so that both countries and their people can profit for long time to come. Sanjeev is highly respected Indian in Japan and has mastered fluency in Japanese language. It is an extreme pleasure to know him. All his work, professionalism, people managment, and knowledge is worth emulating. I wish him all the success and fame in life.

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Credentials

  • Generative AI & LLM (生成AI・LLM, Architecture to Deployment)
    DeepLearning.AI
    Oct, 2023
    - Sep, 2024
  • Machine Learning in Trading and Finance
    New York Institute of Finance
    Mar, 2023
    - Sep, 2024
  • The Future of Payment Technologies
    University of Michigan
    Feb, 2023
    - Sep, 2024
  • Unsupervised Learning, Recommenders, Reinforcement Learning
    Stanford University
    Feb, 2023
    - Sep, 2024
  • Linear Algebra for Machine Learning and Data Science
    DeepLearning.AI
    Jan, 2023
    - Sep, 2024
  • AWS Cloud Practitioner
    Amazon Web Services (AWS)
    Jan, 2023
    - Sep, 2024
  • Calculus for Machine Learning and Data Science
    DeepLearning.AI
    Jan, 2023
    - Sep, 2024
  • ChatGPT Prompt Engineering for Developers
    OpenAI
    Jan, 2023
    - Sep, 2024
  • ChatGPT for Market Research
    Coursera
    Jan, 2023
    - Sep, 2024
  • Classify Images with TensorFlow Convolutional Neural Networks
    Google Cloud - Minnesota
    Jan, 2023
    - Sep, 2024
  • Create Machine Learning Models in Microsoft Azure
    Microsoft
    Jan, 2023
    - Sep, 2024
  • Decentralized Finance (DeFi) Deep Dive
    Duke University
    Jan, 2023
    - Sep, 2024
  • Derivatives - Options & Futures
    Interactive Brokers
    Jan, 2023
    - Sep, 2024
  • Probability & Statistics for Machine Learning & Data Science
    DeepLearning.AI
    Jan, 2023
    - Sep, 2024
  • Reinforcement Learning
    Google Cloud - Minnesota
    Jan, 2023
    - Sep, 2024
  • Reinforcement Learning for Trading Strategies
    New York Institute of Finance
    Jan, 2023
    - Sep, 2024
  • Web3 and Blockchain
    INSEAD
    Jan, 2023
    - Sep, 2024
  • How Software Ate Finance (Money, Asset Management, Capital Markets, Payments, FinTech, Clearing, Regulations, Digital Assets)
    Stanford University
    Nov, 2022
    - Sep, 2024
  • 高度金融ポートフォリオ構築・分析 in Python: Advanced Portfolio Construction and Analysis with Python
    EDHEC Business School
    Oct, 2022
    - Sep, 2024
  • AI, InsurTech, and Real Estate Technology
    The Wharton School
    Jan, 2022
    - Sep, 2024
  • Artificial Intelligence on Microsoft Azure
    Microsoft
    Jan, 2022
    - Sep, 2024
  • Asset Management with Python and Machine Learning
    EDHEC Business School
    Jan, 2022
    - Sep, 2024
  • Azure Machine Learning
    Microsoft
    Jan, 2022
    - Sep, 2024
  • Cloud Machine Learning Engineering and MLOps (on AWS/Azure/GCP)
    Duke University
    Jan, 2022
    - Sep, 2024
  • Economics of Health Insurance and Delivery
    The Wharton School
    Jan, 2022
    - Sep, 2024
  • HTAP: Operational Analytics with Microsoft Azure Synapse Analytics (4 weeks course on Hybrid Transactional/Analytical Processing on Azure)
    Microsoft
    Jan, 2022
    - Sep, 2024
  • Innovations in Investment Technology: Artificial Intelligence
    University of Michigan
    Jan, 2022
    - Sep, 2024
  • Interest Rate Models with Stochastic Calculus
    EPFL (École polytechnique fédérale de Lausanne)
    Jan, 2022
    - Sep, 2024
  • Leading Diverse Teams and Organizations
    University of Michigan
    Jan, 2022
    - Sep, 2024
  • Linear Algebra for Machine Learning
    Imperial College London
    Jan, 2022
    - Sep, 2024
  • Machine Learning on AWS (5 weeks' certified course)
    Amazon Web Services (AWS)
    Jan, 2022
    - Sep, 2024
  • Managing Social and Human Capital
    The Wharton School
    Jan, 2022
    - Sep, 2024
  • Sentiment Analysis with Deep Learning using BERT
    Google
    Jan, 2022
    - Sep, 2024
  • Tech for STOs of Boostry and Progmat of 三菱UFJ信託銀行 in Japan: SBI-R3 Corda - Build Blockchain / DLT Apps
    Udemy
    Jan, 2022
    - Sep, 2024
  • Transacting on the Blockchain
    INSEAD
    Jan, 2022
    - Sep, 2024
  • Deploy Machine Learning Model into AWS Cloud Servers
    Coursera
    Jun, 2021
    - Sep, 2024
  • Data Analysis: Pandas & NumPy
    Coursera
    Jan, 2021
    - Sep, 2024
  • Certified Financial Risk Manager by Global Association of Risk Professionals
    Global Association of Risk Professionals (GARP)
    Jan, 2001
    - Sep, 2024
  • FinTech Security and Regulation (RegTech)
    The Hong Kong University of Science and Technology
    Jan, 2023
    - Sep, 2024
  • Integral Calculus and Numerical Analysis for Data Science
    University of Colorado Boulder

Experience

    • Japan
    • Investment Banking
    • 1 - 100 Employee
    • 執行役員 Member of the Board of Executive Officers
      • 2022 - Present

      AI and data driven integration across different business divisions (Online Securities, Robo Advisory, DLT/Blockchain/STO, AM, Banking, Consumer Finance, Insurance and others). AIとデータに基づく金融内外統合化:証券、ロボアド、暗号資産、AM、資産形成、PE/VC、保険、銀行、消費者金融など。

    • AI/Strategic Advisor (from Sony Group SRE TSE 東証一部 Listed)
      • 2020 - 2022

      Strategic advisory, planning and solutions for AI, Data Analytics and DX for Finance industry.Unique strengths in cross-industry integrations across Securities/Capital Markets (Equity, FI, FX, IPO/PO), Asset/Wealth Management (Portfolio Optimization, Robo-Advisory) and Banking.Combining a variety of technologies like ML/DL, Time Series Analysis, Clustering, Reinforcement Learning, GAN and NLP with Python, NumPy/SciPy/SKL/Pandas, TensorFlow, AWS/Azure/Google Cloud and other state-of-the-art platforms.Incorporating valuable team development, marketing, compliance and data security insights based on long experience of New Business Development towards a holistic solution. Show less

    • 日本代表 Chief Representative for Japan Region.
      • 2008 - 2020

      Responsible for various new funds creation, marketing and sales in Tokyo, Mauritius and Singapore for Japanese investors. I brought in and built new relationships with various mega and regional banks, securities companies, insurance companies and trading houses of Japan. Helped the distributors in sales through road shows, research and presentations in Japanese language. Created platforms for cross border VC and AI/HighTech collaboration of Japanese companies. Raised more than 1 Billion USD in various categories. Working with PwC, BSE, TSE, METI, JETRO, JICA and various ministries of India and Japan facilitated cross border M&A/JVs and business entries. Show less

    • Director, Head of New Business Group Japan
      • 2004 - 2008

      I was responsible for holistic coordination on any large and complex new business / transaction in or involving Japan, including cross border deals. Depending on the deal, my work spanned across all areas of the firm like M&A, Derivatives, Securitization, Debt, Equities, FX, Asset Management and Wealth Management etc. Working closely with the CEO, I built a cross functional leadership and coordination process across strategy, sales, legal, tax and accounting sensitivities, market and credit risks, quantitative and operational issues, internal policies and organizational dynamics. Show less

    • 次長 Assistant General Manager
      • 2001 - 2004

      I joined the firm right when Mizuho Group was created as the world's largest financial group by merger of DKB, IBJ and Fuji Bank. My main role was firm wide global coordination across Tokyo, London, Hong Kong etc. on various post merger matters, especially on derivatives, securitization, risk management and IT systems their of. This is where I developed my Japanese language proficiency in finance industry and a close understanding of Japanese corporate culture. I joined the firm right when Mizuho Group was created as the world's largest financial group by merger of DKB, IBJ and Fuji Bank. My main role was firm wide global coordination across Tokyo, London, Hong Kong etc. on various post merger matters, especially on derivatives, securitization, risk management and IT systems their of. This is where I developed my Japanese language proficiency in finance industry and a close understanding of Japanese corporate culture.

    • United States
    • Financial Services
    • 700 & Above Employee
    • Analyst
      • 1998 - 2001

      Was responsible for coordination with New York head office and Tokyo for the Risk Management and Derivatives Valuation systems. Also played a key role in setting up a new team in Tokyo. Was responsible for coordination with New York head office and Tokyo for the Risk Management and Derivatives Valuation systems. Also played a key role in setting up a new team in Tokyo.

    • Japan
    • Newspaper Publishing
    • 400 - 500 Employee
    • Author, Columnist, TV/Radio Analyst, Editorial Boards etc. (Continuing Presently)
      • 2000 - 2000

      TV NHK, カンブリア宮殿, TV Tokyo, WBS, Asahi, Fuji, CNBC, NDTV, Aajtak etc. Authored four books in Japanese from leading Japanese publishers Nikkei, Shincho (新潮新書), 講談社 and Shuwa, also translated and published by major publishers in the Mainland China and Taipei Columnist on Nikkei, Asahi, Japan Marketing Journal, Japan SpotLight (Aff. Ministry of Economy, Trade and Industry of Japan), and Minkabu (leading online investor media). The official promoters (発起人) of the books include Prime Minister Kishida, Dep. Finance Minister Okamoto, Bombay Stock Exchange/National Stock Exchange CEO Chauhan and others as follows: 岸田 文雄 現総理大臣 森 喜朗 元総理大臣 安倍晋三 元総理大臣 林 芳正 外務大臣、元農林水産大臣・文部科学大臣・防衛大臣 西村 康稔 現経済産業大臣 岸 信夫 防衛大臣 細田 博之 衆議院議長・日印友好議員連盟会長 安西 祐一郎 日本学術振興会理事長、元慶應義塾長、内閣府AI戦略会議議長 渋澤 健 渋沢栄一記念財団理事 Aチョウハン ボンベイ証券取引所(BSE) CEO CPグルナーニ インドIT協会会長 塩崎 恭久 元厚生労働大臣、日本銀行やGPIF独立政策促進者(元日銀) 前田 匡史 国際協力銀行(JBIC)代表取締役総裁 黒川 清 元日本学術会議会長 中曽根 弘文 参議院議員・元外務大臣・文部大臣 石井 啓一 衆議院議員・国土交通大臣 石毛 博行 日本貿易振興機構(JETRO)理事長 入柿 秀俊 JICA 東南アジア・大洋州部長 遠藤 利明 衆議院議員・前五輪担当大臣 伊吹 洋二 丸紅情報システムズ代表取締役社長 太田 昭宏 前国土交通大臣・元公明党代表 榎 泰邦 元駐インド日本大使 城内 実 衆議院議員・前外務副大臣 高村 正彦 自民党副総裁、元外務大臣 景 文学 北京如水慧諮詢有限公司董事長 榊原 英資 青山学院大学教授、元財務省財務官 スレーシュプラブ インド鉄道大臣、元産業大臣、サラスワト銀行頭取 田中 和徳 自民党国際局長 アフターブ・セット 元駐日インド大使 デサイ・ウダイ インド工科大学ハイドラバード(IIT)学長 岡本 三成 財務副大臣・元欧米金融機関財閥証券MD 茂木 敏充 自由民主党幹事長、元外務大臣・経済産業大臣・金融経済財政政策相 ラジーブクマール インド中央銀行(RBI)理事、インド最高政策機構CEO 鈴木 修 スズキ株式会社代表取締役会長 森 英介 衆議院議員・元法務大臣 平田 喜裕 日本経済新聞専務取締役 竹本 直一 衆議院議員、IT大臣、暗号資産議員連盟会長 堂道 秀明 国際協力機構(JICA)副理事長 豊田 正和 日本エネルギー経済研究所理事長 長妻 昭 前民進党代表代行・元厚労大臣 猪口 邦子 参議院議員・元国務大臣 松下 功夫 JXホールディングス株式会社相談役 ババ・カリヤニ バラット・フォージ社会長・日立製作所取締役・日印CEOフォーラム会長 比良 竜虎 印日商工会会長 ディーパ・ワドワ 前駐日インド大使 平林 博 日印協会理事長・元駐インド日本大使 村井 純 慶應義塾大学環境情報学部長 ヴィカススワルプ 作家・駐カナダ インド大使・元インド外務省報道官 市橋 敬男 Mobileye共同創設者 RC・バルガワ スズキ自動車インド会長 山田 明人 ラグビー選手・日本代表 Show less

    • Systems Manager
      • 1996 - 1998

      GenTech was a prominent start up with researchers from MIT, Hebrew University, INRIA, University of Tokyo, IIT etc. to build what's now one of the world's leading AI based Autonomous Driving company MobilEye which got listed on NYSE and then bought over by Intel at a valuation around 20 billion USD. I developed new AI algorithms, working closely with major automobile and other high tech clients of Japan. GenTech was a prominent start up with researchers from MIT, Hebrew University, INRIA, University of Tokyo, IIT etc. to build what's now one of the world's leading AI based Autonomous Driving company MobilEye which got listed on NYSE and then bought over by Intel at a valuation around 20 billion USD. I developed new AI algorithms, working closely with major automobile and other high tech clients of Japan.

Education

  • Harvard Business School
    金融リーダーシップ, Leadership in Finance Industry
    2021 - 2022
  • Indian Institute of Technology, Kanpur
    Integrated BS + MS (5 Years Course), Physics
    1990 - 1995
  • Macquarie University
    Master of Applied Finance, Capital Markets, Derivatives Valuation, Corporate Finance, M&A, Risk Management, Legal & Compliance
    1999 - 2005
  • The Wharton School
    AI for Business, 97.5%
    2022 - 2023
  • Columbia University in the City of New York
    Financial Engineering / Risk Management
    2000 - 2000
  • University of Virginia
    Artificial Intelligence in Marketing, 89.5%
    2022 - 2023
  • Stanford University
    Advanced Machine Learning, AI, ML, Big Data, Advanced Algorithms, Cloud Computing
    2022 - 2022
  • Columbia University
    Asset Management: Optimization Methods, Optimization of Portfolio, CAPM, GMP/ETF, VaR-CVaR, Market Micro-Structures and Best Execution etc.
    2023 - 2033
  • Massachusetts Institute of Technology
    Quantitative Finance: Mathematical Methods, Black Scholes, Stochastic Calculus, No-Arb/Risk-Neutral Pricing, Time Series, LinAl, Optimization
    2023 - 2023

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