Financial Market Development
Financial markets companies have faced some of the biggest challenges in the past: fee compression, lower client switching calls, complete electronification of markets and technology disruption. But they are adopting some of the most significant opportunities with the emergence of technology: high-speed processing and advanced technologies, including machine learning and AI.
Financial Markets and AI
Driving operational efficiency
- Identify the fund net flow
- Improve routing and trade execution for cost optimization
- Make predictions about customer profitability
- Bring down the middle and back-office cost from error correction and process failures
- Identify channel effectiveness
Exceeding Client Expectations
- Enhance new customer acquisition strategies
- Strengthen client relationships
- Increase wallet share
- Understand client churn risk
- Identify appropriate product offers
- Track trading and communication
- Discover and prevent wire fraud and account takeover
- Diagnose and prevent cyber threats
- Identify risk for outlooks and ratings
- Keep an eye on communication and trading
“Financial Markets will be the second largest industry with $5.6 billion going toward AI-enabled solutions including automated threat intelligence & prevention systems and fraud analysis & investigation systems in 2021.”
Use Cases of Financial Markets
The opportunity to implement machine learning and AI across financial markets is extensive. More than thousands of AI and ML-based applications have been developed for financial market firms that allow them to make better and faster decisions.
Marketing and Cross-Selling
Marketing campaigns customized for the financial firms’ markets improve response rates and maximize ROI. AI and ML models identify clients who often respond, along with the best offers. AI facilitates new cross-sell and upsell and customer acquisition programs to offer higher success rates.
Financial firms have to optimize their portfolio to achieve success. Deploying the predictive models, fund managers can identify changes in cash flow that can impact liquidity. As AI-based models enhance with time, firms’ portfolios’ performance is becoming a differentiator.
Fraud and Financial Crimes
AI helps identify suspicious activities to fight against financial crime. Also, it becomes possible to enable investigations to take place before a loss occurs. With machine learning, financial crimes can learn from incurred losses and investigational findings to find activities like wire fraud or account takeovers while handling communication surveillance and effective trade
With historical transaction cost analysis and execution data, traders can develop models that optimize trade execution techniques and offer routing. Also, AI-based models support trader decision-making and help reduce cost and market impact while ensuring the trader’s compliance with regulatory requirements.
Our Work in Financial Market Development
P2P LENDING PLATFORM
HashLend: An application for Peer to Peer Lending, on the top of Hedera Hashgraph Platform
LeewayHertz has successfully developed HashLend, an application for Peer to Peer Lending on the Hedera Hashgraph platform. HashLend is a scalable and robust application that enables borrowers and lenders to connect directly without the involvement of middlemen or intermediaries
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