• Start-Up Builder
– Build entire start-ups’ infrastructure from ground up, driving long-term growth and profitability. Combine big-picture plan with effective communication, collaboration and rigorous execution.
– Overs…
• Start-Up Builder
– Build entire start-ups’ infrastructure from ground up, driving long-term growth and profitability. Combine big-picture plan with effective communication, collaboration and rigorous execution.
– Oversaw setup of FinTech’s model risk framework from scratch under budget - shifting from reactive to proactive risk strategies. Improving decision-making turnaround time by 80+%.
• 7+ years of hands-on experience in quantitative research, financial risk modeling, portfolio risk analytics and reporting. Deep understanding of financial markets, risk metrics and ML techniques.
• Strong quantitative finance background with solid analytical and data analytics skills, able to convert data into actionable insights. Deep knowledge in finance, statistics, mathematics and data science.
• Organized team player who thrives in a fast-paced dynamic environment, able to demonstrate thought leadership across functional groups as well assert own ideas, influence and build consensus
Conduct thorough data analysis, including data cleaning, transformation, and feature engineering, to prepare datasets for risk modeling.
Validate models using rigorous statistical techniques, and backtesting to assess model performance and reliability.
Help develop bespoke solutions for client’s portfolio needs.
Develop portfolio analytics tools, sensitivities, risk reports, controls and margin adequacy.
Design and implement solutions to clients’ risk management challenges.
Develop risk and pricing models to evaluate risk exposures, CVaR, Volatility, CVA and Stress testing.
Assume responsibility for the full development cycle of the model.
Produce quantitative and qualitative analysis, interpret risk modelling results and offer recommendations to help clients reliably assess and manage their potential loss.
Establish and maintain strong relationships with clients in various industries.
Convert business needs to analytical proposals and consulting projects.
Partnered with 5+ investors for portfolio construction annual review throughout Q3 2023.
Partnered with 2+ clients to restructure over 5+ portfolios over the last 1 month.
Optimization was a key factor in 80+% of portfolio changes.
• Start-Up Builder
– Build entire start-ups’ infrastructure from ground up, driving long-term growth and profitability. Combine big-picture plan with effective communication, collaboration and rigorous execution.
– Oversaw setup of FinTech’s model risk framework from scratch under budget - shifting from reactive to proactive risk strategies. Improving decision-making turnaround time by 80+%.
• 7+ years of hands-on experience in quantitative research, financial risk modeling, portfolio risk analytics and reporting. Deep understanding of financial markets, risk metrics and ML techniques.
• Strong quantitative finance background with solid analytical and data analytics skills, able to convert data into actionable insights. Deep knowledge in finance, statistics, mathematics and data science.
• Organized team player who thrives in a fast-paced dynamic environment, able to demonstrate thought leadership across functional groups as well assert own ideas, influence and build consensus.
Setup from scratch a fully functioning risk management infrastructure to enable the entity transition from management team’s reliance on gut feel to a data-driven business.
Developed and maintained scenario-based predictive statistical models for identifying and quantifying the evolving financial risks i.e market and operational risks, serving as the first line of defense.
Conducted business intelligence, analytics and reporting work for presentation to senior management.
Extracted actionable customer insights and translated them into value recommendations to enhance and impact development decisions as well as customer retention.
Created the monthly management reports and reviews, summarizing key trends and insights to help set future direction and strategies.
Proactively kept up to date with relevant industry and market through continued professional development, including attending seminars, market briefings, intra-team knowledge sharing.
Motivated the team to adapt and thrive in the ever-changing FinTech environment.
Recognized 5+ times for self-motivation, collaboration, good communication skills and great sense of team spirit.
Develop, backtest, automate and deploy AI-powered algorithmic trading strategies via docker containers and in remote cloud computing infrastructures, such as AWS and DigitalOcean.
Collect, cleanup, and manage large data files including merging and reshaping files for algorithmic and high-performance computing research.
Test millions of alternative investment strategies.
Calibrate the investment strategy parameters in order to maximize performance.
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