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 Data Scientist responsible for?

• Clarion Partners, a Franklin Templeton company, is seeking a Data Scientist [Forecasting, Predictive Analytics, Quant Research, Visualization], with 3 -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 the practical engineering experience to get their solutions into production and in the hands of decision-makers.

What will be the ongoing responsibilities of the 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:

• B.Tech/M.Tech/MS/Ph.D. in a quantitative discipline (math, statistics, computer science, engineering, finance)

• Minimum of 3 years of experience in quantitative research and portfolio optimization.

• 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.

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