Corporate Event Data Science - Temp
Manila, Philippines
6d ago


MSCI is a leading provider of investment decision support tools to clients worldwide, ranging from large pension plans to boutique hedge funds.

We offer a range of products and services - including indexes, portfolio risk and performance analytics - through several internationally recognized brands MSCI, Barra, RiskMetrics, Real Estate, FEA, InvestorForce, etc.

Applied Data Intelligence Team (ADI) is responsible for data management, data quality and building innovative data products.

It has two major subgroups :

Data Desk : This part is responsible for providing solutions for the full lifecycle of data content management : vendor procurement, quality analysis, usability, scalability and new product feasibility studies.

We cover a growing set of asset classes and data categories including among others, market data, fundamental data, analyst forecasts, corporate actions and MSCI proprietary data.

Data Science : This part closely works with data desk and business to understand and build AI based solutions to help maintain data quality.

They are also involved in new product development and improving operational efficiency using various machine learning techniques.

POSITION OVERVIEW Data Science Temp (6 months)

We are looking for candidates who will help us discover the information hidden in vast amounts of data and help make smarter decisions to deliver better and error free products.

You will be involved in building specific AI tools to automate certain processes for our internal clients (various product teams).

Responsibilities :

Identify valuable data sources and automate collection processes

Undertake preprocessing of structured and unstructured data

Analyze large amounts of information to discover trends and patterns

Build predictive models and machine-learning algorithms

  • Combine models through ensemble modeling
  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • Necessary skills and qualifications :

  • Proficient in PYTHON programming
  • Preferred Qualifications : Computer Science / Statistics / Mathematics / Econometrics or another quantitative field

    Application of statistical / mathematical methods in analyzing data.

    Good communication skills (written and oral) and proficiency in creating presentations.

    An independent worker who can drive certain parts of the work with minimal oversight

    Have interest or work experience in Finance Stocks, capital markets, bonds, alternate asset classes

    Desired Skills :

    Practical understanding and application of data science and machine learning techniques like : Linear & Logistic Regression, KNN, SVM, PCA, Random Forests, Markov Chains, Clustering (DBSCAN, K-means, etc.

    Deep Learning (CNN, RNN, Autoencoders, Transformers, etc.)

    Text Analysis and Natural Language Processing (NLP) Exposure to chatbots or dialogue systems, machine translation, comprehension of text, text summarization

  • Experience with computational packages (NumPy, SciPy, Pandas, Sklearn, statsmodels, Keras, TensorFlow, PyTorch etc.) and visualization tools
  • Proficiency with AWS or Azure cloud computing environments

    Strong statistics / computer science skills (e.g. probability, algebra, data structures and algorithms)

  • Experience in working with GPUs to develop models
  • Knowledge in business intelligence, quantitative finance and descriptive statistics

    Due to the great number of applications we receive for each of our open vacancies, we are unable to respond on an individual basis.

    To all recruitment agencies : MSCI does not accept unsolicited CVs / Resumes. Please do not forward CVs / Resumes to any MSCI employee, location or website.

    MSCI is not responsible for any fees related to unsolicited CVs / Resumes.

    MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership / union status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy / maternity leave), veteran status, or any other characteristic protected by law.

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