... days remote) We focus on data-driven questions that matter to our business and can be solved ... In other words, we sit at the intersection of quantitative and investment analysis. If you enjoy ...
... days remote) We focus on data-driven questions that matter to our business and can be solved ... In other words, we sit at the intersection of quantitative and investment analysis. If you enjoy ...
... days remote) We focus on data-driven questions that matter to our business and can be solved ... In other words, we sit at the intersection of quantitative and investment analysis. If you enjoy ...
... days remote) We focus on data-driven questions that matter to our business and can be solved ... In other words, we sit at the intersection of quantitative and investment analysis. If you enjoy ...
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Analyst, Distribution Business Strategy(Hybrid & Remote Options Available)
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Analyst, Distribution Business Strategy(Hybrid & Remote Options Available)
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$73K - $84K/yr
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$73K - $84K/yr
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Manhattan, NY · On-site +1
$73K - $84K/yr
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... or remote testing * Conduct user research for hardware and software, and the interaction between ... Conduct qualitative and quantitative research using a range of tools and approaches (e.g ...
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Remote Quant information
What is the difference between Remote Quant vs Remote Data Scientist?
| Aspect | Remote Quant | Remote Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in quantitative fields, such as Math, Physics, or Finance | Degrees in Computer Science, Statistics, or related fields |
| Work environment | Financial firms, hedge funds, or trading companies | Tech companies, startups, or research organizations |
| Employer usage | Used for developing trading algorithms and risk models | Used for analyzing data, building predictive models, and deriving insights |
Remote Quants focus on developing quantitative models for finance and trading, often requiring advanced math and finance knowledge. Remote Data Scientists analyze large datasets to extract insights, typically with a background in computer science or statistics. While both roles involve data analysis, Quants are more finance and algorithm-focused, whereas Data Scientists have a broader application scope across industries.

Data Science Manager - Financial Services & Real Estate
Manhattan, NY • On-site, Remote
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
Data Science Manager – Financial Services & Real Estate
Chicago or NYC (hybrid schedule - 3 days onsite, 2 days remote)
We focus on data-driven questions that matter to our business and can be solved through the application of data analysis, statistics, and computer programming – and are looking for someone to manage this team, while driving solutions that impact business decisions. We develop insights through alternative datasets and analytical methods to help fill in gaps in our understanding of specific assets, markets, and macroeconomic themes. We leverage geospatial, demographic, and economic data, as well as advanced analytics to evaluate live real estate deals across sectors and geographies. In other words, we sit at the intersection of quantitative and investment analysis. If you enjoy fast-paced, stimulating, quantitative work with a tangible business impact, we may be a good fit for you. The ideal candidate is an experienced economist, statistician, data scientist, or equity researcher who has experience studying and identifying macroeconomic themes and understanding their impact on asset performance. The individual needs to be intellectually curious and passionate about solving real-world questions using data. Working for one of the world's largest owners of real estate, you will have the opportunity to raise the bar for physical asset investing.
What You'll Be Doing
- Analyze the drivers of asset performance to help the firm make better investment decisions
- Study and identify macroeconomic themes and understand what they mean for our business
- Forecast relevant metrics for our portfolio and investment strategy
- Prepare visualizations that effectively communicate trends and predictions using relevant data
- Draft opinions on data-driven conclusions that will be shared with executive leadership
- Develop a deep understanding of multifamily investment, finance, and operations
What You Should Have
- 5+ years of experience with Data Science, Quantitative Analysis or other relevant roles
- 2+ years of experience leading and/or managing data science teams and solutions
- Proficiency with R, or similar tools for predictive analytics
- Proficiency with SQL
- Experience working in financial services and/or real estate
Nice To Have Experience
- Experience identifying macro-economic trends through your analysis
- Experience working with data in cloud-based data warehouses – we use Snowflake primarily
- Experience creating dashboards and reports with Power BI – we have other team members that focus on this but if you can contribute in this area as well, bonus points to you
About 1872 Consulting
Sourced by ZipRecruiter
1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Chicago, IL, US
Year founded
2014