Ram Khanna Email & Phone Number
@linqto.com
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Who is Ram Khanna? Overview
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Ram Khanna is listed as Associate, Portfolio & Risk Analytics @ Baron Capital | Master of Science in Quantitative Finance | Passionate about Financial Markets at Baron Capital, a with 164 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at linqto.com and a matched LinkedIn profile for Ram Khanna.
Ram Khanna previously worked as Associate at Baron Capital and Quantitative Research Analyst at Bellwether Consulting Llc. Ram Khanna holds Master Of Science - Ms, Quantitative Finance from Rutgers Business School.
Email format at Baron Capital
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AeroLeads found 1 current-domain work email signal for Ram Khanna. Compare company email patterns before reaching out.
About Ram Khanna
With a Master of Science in Quantitative Finance from Rutgers Business School and a Bachelor of Science in Applied and Computational Mathematics from San Jose State University, I have a strong foundation in mathematical modeling, statistical analysis, and programming.I worked as a Quantitative Research Analyst at Bellwether Consulting LLC, where I applied my quantitative skills and financial knowledge to find mutual fund strategies, conduct market research, and optimize portfolio performance for 401k Plans. Previously, I was an Associate at Linqto, a platform for private investing, where I collaborated with a team of analysts to understand investor sentiment and behavior, and to identify areas of interest and opportunities for private companies. I also developed and implemented strategies to target and engage accredited investors, resulting in increased user acquisition and retention rates.Additionally, I was a Student Researcher at the Ethereum Foundation, where I worked on a project to improve the scalability and security of the Ethereum blockchain. I developed and tested alternative base fee mechanisms to counter oscillation and mining attacks, while enhancing user experience and reducing network congestion. I presented my findings and recommendations to Ethereum team and received positive feedback.I am passionate about quant finance and financial markets, and I am always eager to learn and grow as a professional. I am looking for opportunities to apply my skills and knowledge to challenging and impactful projects, and to contribute to the success of the organization and the industry.
Listed skills include Mathematics, Python, Teamwork, Data Analysis, and 4 others.
Ram Khanna's current company
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Ram Khanna work experience
A career timeline built from the work history available for this profile.
Quantitative Research Analyst
Developed a comprehensive factor analysis tool in lieu of the equity style box in Python to understand key quantitative factors (Style, Size, Quality, Momentum, Volatility) behind fund performance and to provide quantitative insights on smart beta investing. Conducted an in-depth literature review of 6 academic papers on equity duration, synthesizing findings to identify the best formula for calculating interest rate sensitivities of equities and other assets, thereby enhancing the firm's asset management strategies and risk assessment capabilities.Collaborated with Senior Management to write fund commentaries and publish a quarterly market recap focused on US, International Markets and impact of generative AI for clients, showcasing effective teamwork and communication skills.
Volunteer
QWAFAxNEW, formerly known as QWAFAFEW, is a prominent quantitative finance society based in New York. It serves as a dynamic platform where leading researchers and academics present and discuss their most recent findings and developments in the realm of financial markets.
Associate
Collaborated on a crowdsourcing platform to understand investor sentiment towards upcoming private companies. Analyzed areas of interest for private investors and developed strategies to target accredited investors.
Student Researcher
Developed alternate base fee mechanisms to counter oscillation and mining attacks while improving user experience and reducing congestion in the Ethereum blockchain.
Retirement Services Intern
Developed an automated algorithm to compute batting averages and track the performance of various fund managers in Python.Analyzed different broker-dealer retirement funds to select the best performing large - mid cap funds in the US Market
Colleagues at Baron Capital
Other employees you can reach at baronfunds.com. View company contacts for 164 employees →
Josh Saltman
Colleague at Baron CapitalNew York, United States
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Kristine Treglia
Colleague at Baron CapitalNew York City Metropolitan Area, United States
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Jessie Mae Atkinson
Colleague at Baron CapitalNew York, United States
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RJ
Reece Johnson
Colleague at Baron CapitalNew York, United States
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Frank Montero
Colleague at Baron CapitalNew York, United States
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Charles Kruger, Cima®
Colleague at Baron CapitalAustin, Texas, United States
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RG
Robert Gaffney
Colleague at Baron CapitalBellmore, New York, United States
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CH
Caleb Huang
Colleague at Baron CapitalUnited States
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Kate S.
Colleague at Baron CapitalNew York City Metropolitan Area, United States
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Goldie Selig
Colleague at Baron CapitalNew York City Metropolitan Area, United States
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Ram Khanna education
Master Of Science - Ms, Quantitative Finance
Bachelor'S Degree, Computational And Applied Mathematics, 3.5
Frequently asked questions about Ram Khanna
Quick answers generated from the profile data available on this page.
What company does Ram Khanna work for?
Ram Khanna works for Baron Capital.
What is Ram Khanna's role at Baron Capital?
Ram Khanna is listed as Associate, Portfolio & Risk Analytics @ Baron Capital | Master of Science in Quantitative Finance | Passionate about Financial Markets at Baron Capital.
What is Ram Khanna's email address?
AeroLeads has found 1 work email signal at @linqto.com for Ram Khanna at Baron Capital.
Where is Ram Khanna based?
Ram Khanna is based in New York City Metropolitan Area, United States while working with Baron Capital.
What companies has Ram Khanna worked for?
Ram Khanna has worked for Baron Capital, Bellwether Consulting Llc, Qwafax New, Linqto, and Ethereum Foundation.
Who are Ram Khanna's colleagues at Baron Capital?
Ram Khanna's colleagues at Baron Capital include Josh Saltman, Kristine Treglia, Jessie Mae Atkinson, Reece Johnson, and Frank Montero.
How can I contact Ram Khanna?
You can use AeroLeads to view verified contact signals for Ram Khanna at Baron Capital, including work email, phone, and LinkedIn data when available.
What schools did Ram Khanna attend?
Ram Khanna holds Master Of Science - Ms, Quantitative Finance from Rutgers Business School.
What skills is Ram Khanna known for?
Ram Khanna is listed with skills including Mathematics, Python, Teamwork, Data Analysis, Pandas, Numpy, Html, and Interpersonal Skills.
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