Akriti K. Email and Phone Number
As a Statistics Manager at HTTS High Tech Trading System Fund, I lead the development and automation of data-driven dashboards and reports to monitor the performance and risk of various hedge fund strategies. I use my quantitative analysis and machine learning skills to back test, optimize, and validate the models and algorithms that generate insights and recommendations for the fund managers and investors. I have a strong background in finance and data science, with a CQF certification in Quantitative Analysis and Machine Learning. I have also gained valuable experience in credit risk, market risk, and VaR analysis as a Risk Executive and a Senior Executive at NIIT Technologies Limited. I am passionate about finding innovative solutions and strategies to tackle business challenges and enhance decision-making processes.
Htts High Tech Trading System Fund
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Statistics ManagerHtts High Tech Trading System Fund Jan 2021 - Present -
Data Science InternFlip Robo Technologies Feb 2022 - Aug 2022Wfh -
Risk ExecutiveBeeline Broking Ltd. Oct 2020 - Dec 20203 months contract position -
Senior ExecutiveNiit Technologies Limited Dec 2019 - Jun 2020Gurgaon, India
Akriti K. Skills
Akriti K. Education Details
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Mathematical Statistics And Probability -
BcomAccounting And Business/Management -
Diploma In Computers Language And Operations
Frequently Asked Questions about Akriti K.
What company does Akriti K. work for?
Akriti K. works for Htts High Tech Trading System Fund
What is Akriti K.'s role at the current company?
Akriti K.'s current role is Quant Analyst at HTTS High Tech Trading System Fund | Driving Data-Driven Decisions..
What schools did Akriti K. attend?
Akriti K. attended Indian Institute Of Technology, Kanpur, Cqf Institute, Other Schools, Amity Education Group, Bcom, Brainware University.
What skills is Akriti K. known for?
Akriti K. has skills like Pandas, Data Science, Predictive Modeling, Financial Modeling, Data Analysis, Tensorflow, Keras, Recurrent Neural Networks, Credit Risk, Vendor Management, Process Improvement, Deep Learning.
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