Ved Prakash

Business Development Executive

Mumbai, Maharashtra, India6 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing trading systems and quantitative finance solutions.
Proven track record of improving pricing accuracy and system performance.
Strong foundation in mathematics and machine learning applications.

Stackforce AI infers this person is a Fintech expert with strong capabilities in trading systems and quantitative analysis.

Contact

Skills

Core Skills

Trading SystemsQuantitative FinanceSystems DesignSoftware Design

Other Skills

AjaxAlgorithmsAmazon Web Services (AWS)Back-End Web DevelopmentBlockchainCC++Cascading Style Sheets (CSS)Competitive ProgrammingData StructuresDatabase Management System (DBMS)DatabasesDjangoDjango REST FrameworkEthereum

About

I'm passionate about mathematics, machine learning, and software architecture, particularly in applying these skills to solve complex financial problems. At ICICI Bank, I contributed to trading systems built with Python and C++, developed pricing models, worked on innovative blockchain and capital market projects. I like to understanding problems at their core and architecting robust solutions. My interests span quantitative finance and emerging technologies in fintech. I'm always eager to connect with professionals who share similar passions for finance.

Experience

6 yrs 8 mos

Total Experience

1 yr 3 mos

Average Tenure

3 yrs 11 mos

Current Experience

Icici bank

Analyst

Jul 2022 – Present · 3 yrs 11 mos · Mumbai, Maharashtra, India · Hybrid

● Developed a real-time Foreign Exchange trading system processing 200+ ticks per second and more than 25+ currency pairs from 3 venues using FIX Protocol, asynchronous distribution of tick data to downstream modules.
● Orchestrated a statistical pricing model incorporating volatility metrics, market microstructure, liquidity parameters, client segmentation, and order quantity, improving pricing accuracy by 18%.
● Integrated Redis for a caching layer of critical pricing parameters, reducing pricing calculation time by 30%
● Engineered a high-throughput order placement system, achieving an average low-latency trade execution.
● Engineered a scalable onboarding platform for foreign investors, streamlining KYC and verification. Deployed a scalable PDF generation API on AWS via CI/CD, achieving over 70% reduction in onboarding time.
● Deployed PgBouncer connection pooler on PostgreSQL database, achieving a 25% improvement in query response times and a 15% reduction in database CPU utilisation during peak trading hours.
● Tokenized of credit card loyalty points into tradable Non-Fungible Tokens, integrating token-based authentication.

C++Python (Programming Language)DjangoTrading SystemsSQLQuantitative Analytics+7