Finance & AI

From fraud detection and prevention to algorithmic trading, risk management, and personalized banking, our services encompass a wide array of solutions tailored to meet the evolving needs of financial institutions. Dive into our comprehensive offerings, all designed to optimize operations, mitigate risks, and deliver personalized experiences in the fast-paced world of finance.

Utilize AI-powered fraud detection systems to analyze transaction patterns in real-time, effectively identifying and preventing fraud.

Leverage AI-driven algorithmic trading strategies to analyze vast amounts of market data and execute trades with precision and speed.

Employ AI-based risk management tools to assess and predict financial risks by analyzing market trends and economic indicators.

Industries

Resources

Top Benefits of AI in Finanace

Deploy machine learning models on transaction data streams to monitor and flag suspicious activities. Implement anomaly detection algorithms and real-time analytics dashboards for security teams.

Fraud Detection and Prevention

Develop and integrate AI models that use historical data and real-time market information to make trading decisions. Provide backtesting environments to validate algorithm performance.

Algorithmic Trading

Implement AI-powered risk assessment tools that aggregate and analyze data from multiple sources. Develop predictive models to forecast potential risks and integrate them into the institution’s risk management frameworks.

Risk Management

Deploy AI chatbots on websites and mobile apps to assist customers with their queries. Train these chatbots using natural language processing (NLP) to understand and respond to a wide range of customer interactions.

Customer Service and Chatbots

Integrate AI models that analyze both traditional (credit history, income) and alternative data (social media activity, utility payments) to assess creditworthiness. Implement automated loan underwriting systems that provide real-time decisions.

Credit Scoring and Loan Underwriting

Develop AI systems that continuously monitor and analyze transaction data and communications for compliance. Implement alert systems to notify compliance officers of potential issues.

Regulatory Compliance

Use machine learning algorithms to segment customers based on their behaviors and preferences. Develop recommendation systems that suggest personalized financial products and services.

Personalized Banking

Develop AI systems that continuously monitor and analyze transaction data and communications for compliance. Implement alert systems to notify compliance officers of potential issues.

Money Laundering Detection

Why Helix?

Simplify your Finance AI journey with a partner who understands the complexities of your industry and excels in applying AI technologies to realize your financial vision. Helix offers a specialized Finance Practice staffed with industry experts, a suite of finance-focused AI solutions, and tailored advisory services to assist you in implementing intelligent financial solutions. Leveraging our consultancy services, proven use cases, and domain expertise, we empower you to address your unique financial challenges and capitalize on opportunities with artificial intelligence. With a deep understanding of financial technology and extensive domain knowledge, Helix and our strategic partners will develop a strategic roadmap aligned with your organization’s objectives, seamlessly integrating prioritized use cases to ensure purposeful and impactful adoption of AI in finance.

At Helix, we recognize the criticality of implementing initiatives that effectively leverage data to drive value for our clients, all while bridging the gap between immediate needs and long-term strategic goals in higher education. That's why our expert teams are adept at addressing a spectrum of practical and impactful AI use cases, tailored to address both immediate needs and future aspirations of financial institutions, rather than solely focusing on complex models that may not directly align with your specific challenges.

Analyze transaction patterns in real-time to detect anomalies that may indicate fraudulent activities. Machine learning algorithms can continuously learn and adapt to new fraud tactics.
Trading algorithms can analyze vast amounts of market data to identify trading opportunities and execute trades at high speeds, often outperforming human traders.
Assess and predict financial risks by analyzing market trends, credit scores, and economic indicators. These insights help institutions mitigate risks and make informed decisions.
Chatbots and virtual assistants can handle a large volume of customer queries, providing instant responses and personalized financial advice.
Enhance credit scoring models by incorporating non-traditional data sources and improving the accuracy of credit risk assessments, thus helping in better loan underwriting.
Automate the compliance process by monitoring transactions and communications to ensure they adhere to regulatory standards, reducing the risk of fines and legal issues.
Analyze customer behavior and preferences to offer personalized banking services and financial products, enhancing customer satisfaction and loyalty.Campus management including AI driven Security and Facilities tools.
Detect and prevent money laundering by identifying suspicious patterns in financial transactions and flagging potential illicit activities for further investigation.

Use Case Driven Methodology