Senior Associate, Real Assets Data
New York, NY, United States
MSCI
MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data and technology, we enable clients to understand and analyze key drivers of risk...Your Team Responsibilities
MSCI, Inc. Seeks Senior Associate, Real Assets Data in New York, NY to: lead data scientist in the real estate data team. Build ML models and dashboards to help automate data ingestion and publishing.
Your Key Responsibilities
Utilize tools such as data bricks, python, github, R, PowerBI, Tableau. Collaborate with cross-functional teams, including product managers, engineers, and business analysts, to develop data-driven solutions that address complex business problems and drive investment decision-making in the commercial real estate industry (CRE). Lead the build and production of a chained hedonic structured time series model to better depict market cap rates and pricing metrics in CRE for clients who have used it to benchmark investments. Build the US multifamily liquidity scores model using R and Tableau to understand and quantify capital flows and liquidity in the US market. Use R and Python to build an unsupervised learning records exclusion model, and deployed it into production using Databricks, increasing efficiency by time saved from manual record processing. Lead the efforts to build and deploy a robust ML record linkage pipeline using geospatial, KNN, and string distance algorithms to automatically link CRE records from any unstructured datasets into the MSCI core database; Maintain dashboards for the performance of the Data Science team using Databricks and Tableau.
SALARY & WORK SCHEDULE: $131,000 to $131,000/year, 40 hrs/wk
Your skills and experience that will help you excel
REQUIREMENTS: Master’s degree or foreign equivalent in Finance or a related field and three (3) years of experience in the job offered or related occupation: performing data analysis using Python and R, including Pandas, NumPy, and Scikit-learn; applying statistical techniques, including hypothesis testing, regression analysis, hypothesis testing and multivariate analysis; applying machine learning techniques, including regression, classification, clustering, random forest and ensemble methods; cleaning, transforming, and structuring large datasets using SQL, Python and R by writing complex SQL queries, data wrangling, and managing ETL processes; creating comprehensive dashboards and reports using Tableau and Power BI; utilizing cloud platforms including Amazon Web Services (AWS), Google Could Platform (GCP) and Azure for data science workflows including setting up cloud-based data storage and deploying machine learning models in a cloud environment; and working with big data processing frameworks including Hadoop, Spark, and Databricks. Telecommuting and/or working from home may be permissible pursuant to company policies. When not telecommuting, must report to work site.
QUALIFIED APPLICANTS: Please e-mail your resume to: marie.stech@msci.com Ref: HA0423WEB. NO CALLS.EOE.
About MSCI
What we offer you
- Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
- A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
- Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
- Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
- We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.
At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.
MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.
MSCI Inc. is an equal opportunity employer. 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 parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.
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.
Note on recruitment scams
We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com
Tags: AWS Azure Big Data Classification Clustering Data analysis Databricks ETL Excel Finance GCP GitHub Hadoop Machine Learning ML models NumPy Pandas Power BI Python R Research Scikit-learn Security Spark SQL Statistics Tableau Testing Unsupervised Learning
Perks/benefits: Career development Flex hours Health care Parental leave Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.