Senior Data Scientist

Clarion Partners has been a leading real estate investment manager for over 40 years. Headquartered in New York, the firm maintains strategically located offices across the United States and Europe. Clarion Partners offers a broad range of real estate strategies across the risk/return spectrum to approximately 500 institutional investors across the globe. Clarion Partners operates independently as a Specialist Investment Manager owned by Franklin Templeton (FT), a diversified firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals.

What is the Senior Data Scientist responsible for?

Clarion Partners, a Franklin Templeton company, is seeking a Senior Data Scientist [Forecasting, Predictive Analytics, Quant Research, Visualization], with 6-10 years of experience in real estate/fixed income/structured products. The position could be based out of Hyderabad or Mumbai, India.

You will be part of a global 24/7 team with a reporting line into the USA. You are a self-starter and a motivated go-getter. You will be responsible for applying rigorous research practices to build profitable and reliable insights that improve sector and market selection and buy/sell decisions at the property level. The ideal candidate is a quant research expert who also has practical engineering experience to get their solutions into production and in the hands of decision-makers.

What will be the ongoing responsibilities of the Senior Data Scientist?

Responsibilities:

• Lead the design & build of a quantitative research system supporting investment decisions for commercial real estate portfolios allocating billions of dollars in AUM
• Design, develop and implement ML/AI solutions for real estate markets.
• Find the needle in the haystack - identify the signals that are most descriptive and predictive of market performance.
• Train time series forecasting and cross-sectional ranking models across hundreds of geographies and property types. Use these data-driven views to construct risk-efficient model portfolios.
• Help the team build automated processes to support the quant research system using best practices in data engineering, cloud computing, and software development.
• Communicate complex quantitative ideas & insights to investment teams (analysts, PMs, underwriters, etc.) to improve adoption of solutions delivered by the data science team.
• Scope, lead, and execute research projects with clearly defined deliverables and timelines. Provide input to leadership to support development of a long-term roadmap.

Qualification:

• MS/Ph.D. in a quantitative discipline (math, statistics, computer science, engineering, finance)
• Minimum of 6 years of experience in quantitative research and portfolio optimization. If no MS, then a minimum of 10 years’ experience after BS/BTech.
• Mastery of probability, statistical inference, time series forecasting, and machine learning (ML). You can differentiate signal from noise and avoid common pitfalls of applying ML to noisy datasets.
• Proficient in python and common data science libraries (e.g. pandas, numpy, scikit-learn)
• Proficient in the basics of data engineering. You can load data into a warehouse, design and build simple database models, and write moderately complex SQL queries to power your research.

Preferred Experience:

• Experience in quant research applied to financial markets and investing. Real estate experience a plus, but not required.
• You have built end-to-end systems (data, models, UI) in a multi-asset context.
• Comfortable with data science project/product management.
• Proficient with cloud computing in Azure, working with virtual machines, serverless functions, cloud storage, data pipelines, etc.
• Experience with Snowflake and ETL tools like Matillion & Azure Data Factory.

Job Level - Individual Contributor

Work Shift Timing - 2:00 PM - 11:00 PM IST