Financial Services Industry Archives

How Technology Can Help the Wealth Management Industry Navigate Coming Changes in 2023 | Blog

March 24, 2023

With the economy headed for slower growth, technology is more important than ever to enable companies to better serve customers by providing hyper-personalized experiences. Read on to learn how the disruptions will impact the wealth management industry and the role technology and service providers can play to help wealth managers navigate the choppy waters ahead.

In light of changing investor preferences, mounting regulatory pressures, and a looming economic slowdown, the wealth management industry is at the cusp of change. While the industry has demonstrated good resiliency and recovery post-pandemic, signs point to subdued growth in the next few years.

The wealth management industry has been experiencing one of the longest periods of market growth and economic stability in recent history. Financial support by governments, lower interest rates, and limited consumption opportunities have contributed to rising household wealth, generating increased revenues for wealth management companies from more fees and advisory support.

But the rapid rise in interest rates and fear of an economic slowdown will put pressure on this industry in 2023. Let’s look at the factors disrupting the wealth management industry in the first of our two-part series.

Fundamental change in ecosystem participants – passing trend or here to stay?

The industry is seeing structural changes in ecosystem participants. Traditional wealth managers are no longer the only players offering wealth management services and products. Challenger banks, pension providers, insurance firms, super-apps, nonbank financial companies (NBFCs), and nonbank financial institutions (NBFIs) are entering the market and creating competition.

These emerging segments already have access to a large customer base supplemented by data insights on demographics and buying patterns. This enables them to remove silos for customers and simultaneously improve income streams by reducing churn risk.

Customers now can access investment services within an umbrella of existing offerings. While this is a win-win for both parties, it is making wealth managers apprehensive as they realize the critical importance of retaining and more effectively serving their current customers.

Rethinking growth versus profitability conundrum – impact of a potential slowdown?

While the pre-pandemic era was all about expanding and tapping into new customer segments, the strategy for serving various customer bases has significantly shifted. With the changing market dynamics, the focus has morphed from expanding and tapping into newer segments to building trust with existing customer segments and enabling hyper-personalized experiences.

A potential economic slowdown would have ripple effects on the wealth management industry. The focus on rapid growth would take a backseat as enterprises pivot their attention to reducing costs and improving profitability. This would directly impact tracking advisor productivity, improving advisor-to-client ratios, and enabling hyper-personalized experiences.

At the same time, providing access to emerging themes like Environmental, Social, and Governance (ESG) and digital assets will prove to be differentiators in the long run. Regulatory activity is heating up in the ESG space and will lead to corresponding technology implications for wealth managers’ IT estate, as previously discussed in our blog, New Sustainability and ESG Investment Regulations will Spur a Second Digitalization Wave in Wealth Management.

Technology implications – will the IT estate need to be re-examined?

The wealth management technology estate traditionally has been characterized by multiple disparate systems siloed by products or functions, fracturing the customer experience. At its core, wealth management grapples with a massive data problem – how to effectively analyze customer data, understand their journeys, and identify better cross-sell/upsell opportunities.

Wealth managers need an IT estate that is flexible enough to accommodate these hyper-segments and different products, and their underlying data to address these evolving demands at speed and scale.

Identifying the right platform partner, enabling product expansion via ESG and digital asset offerings, and quickly disseminating this information to advisors will be key priorities for wealth managers as they assess their technology estates.

Identifying the ecosystem strategy for system integrators and other technology companies to improve fractured customer experiences will be equally important for technology providers. At the same time, service providers also will need to orchestrate and assemble best-of-breed solutions for wealth management clients by building a robust partnership ecosystem.

As wealth managers grapple with these market changes, technology has never been more important to help them better prepare and tackle the potential challenges coming their way.

The key questions that need to be answered include:

How can the service cost be reduced?
How can the right tools be used to improve advisor productivity?
How can a microservices-based Application Programming Interface (API)-enabled composable core be built?
How can data be leveraged to enable personalized client experiences?
How can a scalable and purpose-built cloud infrastructure be used to run mid- and back-office operations on the cloud?

We are interested in hearing how wealth managers are preparing and tackling these market dynamics, and how this is manifesting in the conversations technology and service providers are having with clients. Please reach out to [email protected] or [email protected] to share your thoughts. In our next blog, we will look at the future state of the wealth management industry and provide a technology architecture blueprint for this space.

Learn more about how to deliver better customer experiences in our LinkedIn Live session, Frictionless Customer Experiences: The Key to Unlocking Satisfaction.

SVB Aftermath: How Will the Bank Failures Impact the Technology Services Industry? | Blog

March 16, 2023

With the recent banking implosion, the global financial services industry, technology companies, and service providers will be hit in different ways. Let’s explore the reverberations of these concerning banking trends.

The failure of Silicon Valley Bank (SVB) along with Silvergate and Signature Bank raises the question: Are these isolated incidents or signs of greater trouble in the financial services industry signaling a recession in the US? We believe this will start a domino effect impacting banking regulations, profitability, and technology spend.

The recent collapse of the banks will have repercussions across the financial services system and may trigger the following aftermaths:

Opportunities for large banks to capture business from banks with similar concentration sector risks of sectors that are seeing slowdowns (e.g., the start-up and tech concentration for SVB)
Rising mergers and acquisitions (M&As) to counter concentration risks and take advantage of current banking valuations, especially in the mid-market and regional banking segments
Reversing rate hikes by the Federal Reserve could bring about a multi-fold impact, as most organizations have planned their business strategy with the assumption of additional hikes for rates in 2023
Tightening of spend across organizations to manage near-term profitability. This could also cause spending slowdowns this quarter for IT outsourcing suppliers. Discretionary spending also will dry up, and decisions on new large modernization deals will be delayed
Declining revenues and loss of business in the current and following quarters for IT outsourcing suppliers catering to these banks

After the dust settles, these bank collapses can bring about the following two key learnings in the long term:

Data and analytics and Artificial Intelligence (AI) technologies could play a key role in better risk management (e.g., for the SVB asset-liability mismatch issue) to predict similar risk scenarios and prevent future failures
Additional stress test scenarios can help avoid future bank runs on non-SIFI institutions

Banking trends and impact

As the events played out, Moody’s downgraded its view on the US banking system from stable to negative, citing a rapidly deteriorating operating environment. Banks with sector-specific concentration risks, specializing in two or three sectors, have grown deposits in the last couple of years and also have a higher percentage of customers with average deposits exceeding the FDIC-insured limit, putting them at higher risk.

These banks will need to assess their portfolios and provide assurance to their customers. Even with these guarantees, customers still may decide to change their banking partners and seek traditional large banks that have more liquidity, impacting regional and smaller banks’ growth.

Declining customers and subsequent deposits will also affect other banking portfolios, and digital and technology transformation spend may take a hit. Banks’ risk management functions also will be scrutinized again. For example, only one of the seven members of SVB’s Risk Committee had risk management experience.

Implications for the financial services industry

The global financial services industry also could be impacted. Other geographies like Japan and the UK are showing signs of distress with banks of similar portfolios and exposures.

The bank failures could have a lasting impact on the sector as the financial services industry restructures and implements new processes to avoid similar scenarios, including:

Stricter stress testing rules to prevent further risk to the nation’s financial stability
Increased frequency and number of stress testing within banks as they reassess their portfolios and plan for any asset-liability mismatches
Greater focus on banking governance in the US triggered by the questions raised over systemic risk exemptions for SVB and Signature
Layoffs and hiring freezes as the industry becomes more prudent and conservative
Larger banks taking business from banks that have similar risk issues and might struggle
Rising M&As, especially in the mid-market and regional banking segments

Opportunities for providers

Here are our recommendations on how technology and service providers can capitalize on these new banking trends:

Adopt a multi-stakeholder approach with large banks: More than half of the business and financial services (BFS) technology spend comes from Tier 1 banks, and we expect investments by these market giants to remain strong and even expand to address the ripple effects. Providers should adopt a multi-stakeholder approach to target risk and compliance, marketing, operations, technology, and business unit leaders who all might course correct their strategies (in response to potential Federal Reserve reverse rate hikes, products being stress tested, new ones being launched, increased regulatory reporting activity, etc.)
Prioritize accounts for small and mid-size banks and credit unions: Service providers need to re-prioritize their account strategy for these banks as they renew priorities and focus areas. We expect overall spending by small- and mid-size banks to decline, making it critical for providers to identify and pursue the right accounts with the most relevant messages (based on the level of financial health)
Reenergize pre-COVID cost-takeout playbooks with next-gen elements: As banks come under immense margin pressure, some asset takeovers and carve-out opportunities may arise. A solutions mindset will resonate more soundly with clients than a pure talent-led play. Providers should plug gaps by working with technology partners and/or bring in-house technology assets.

We expect an increase in offshoring intensity and a push for captive setup conversations through a build-operate-transfer (BOT) model approach. Service providers should watch the direction of US dollar prices as commercials will need to be revised for the foreign exchange (FX) impact (the double impact of potential rate reversal and wage inflation)

Support clients on product/portfolio diversification strategies (long-term): BFS firms entering and/or expanding their asset and wealth management business as part of their revenue diversification plan will spike. We hold onto our growth forecast in this segment with renewed affirmation from the market
Pivot to growth pockets that will be less impacted: Not all lines of businesses will be equally affected. There’s a glimmer of hope for a revival in investment banking, private equity, treasury, and brokerage spending on technology outsourcing. However, cards and payments will stay flat, and lending might struggle

Looking ahead, BFS firms will cautiously approach technology and outsourcing spending, resulting in another quarter of soft demand. We also expect increased medium-term regulatory actions leading to spending increases across risk and compliance functions for non-SIFIs.

Rippling effects across geographies

The recent bank failures have an underlying mix of bank-specific (micro) and macro-economic factors in play. The macro factors have the potential to increase fear in the markets (and depositors) as government bond yields have shown signs of reversing their course, and the added factors of slower economic recovery, inflation, high-interest rates, and the resulting layoffs in specific sectors add further pressure.

Credit Suisse saw a 20% fall in share price on fears of a liquidity crunch on March 15. This also impacted shares of other European banks, such as BNP Paribas, Societe Generale, Commerzbank, and Deutsche Bank falling between 8% and 10%.

We are closely observing the market and regulatory actions and are available for any questions you or your teams might have about the impact of these latest banking trends. Please reach out to Ronak Doshi, [email protected], Kriti Gupta, [email protected], or Pranati Dave, [email protected].

Learn about key trends and the outlook for the global services market in 2023 in our webinar, Global Services: Lessons from 2022 and Key Trends Shaping 2023.

Financial Services Trends Fueling Outsourcing Opportunities in Emerging Markets | Blog

March 3, 2023

With customer demand for financial services rising across geographies, looming recessionary fears and competition is leading enterprises to expand beyond North America and enter developing markets such as the UK, Europe, Latin America, Asia Pacific, the Nordics, and the Middle East. Read on to understand the geographical differences, financial services trends driving growth, and the outsourcing opportunities in these regions.

Fueled by high volumes, new technological products, and enhanced customer experience, demand for financial services is rising across developing geographies. Banks, lenders, FinTechs, and other banking and financial services (BFS) enterprises are expanding into new markets following the rising customer demand.

The saturated and competitive North American market and high-cost pressures, against the backdrop of the looming recession, are forcing enterprises to move beyond traditional markets and enter new geographies to increase their customer base. Let’s take a look at where they are headed.

The UK and Europe, along with nascent geographies such as Latin America, Asia, Australia, and New Zealand (ANZ), the Nordics, and the Middle East, are some of the geographies identified for rapid development by enterprises that have unique factors driving end customer demand.

But like the rest of the world, these markets have been impacted by the pandemic and domestic challenges that have reshaped business models and environments. Outsourcing service providers can identify these pain points and leverage capabilities to provide support.

Financial services trends driving outsourcing demand by enterprises in upcoming geographies

A few major trends impacting the enterprises in these geographies, where third-party providers can offer support:

Environmental, social, and governance (ESG) – While a board room discussion for BFS enterprises across geographies, enterprises in Western Europe and the UK are leading other geographies in the charge for ESG adoption because of high regulatory pressure
Super-apps and buy now pay later (BNPL) – As a result of increased technological advancement in these geographies and enhanced experience demanded by end customers, these financial services trends are making waves in Asia Pacific and Latin America
Embedded finance and neo-banks: Traditional banks are setting up their own digital banking arms to cater to the pandemic-induced demand spike. From nearly US$47 billion in 2021, the global neo-banks market is poised to be valued at US$2.05 trillion in 2030, growing at a CAGR of 53.4%

Enterprises increasingly are leveraging third-party provider support to build scale and ramp up services in these growth areas, but various internal and external factors impact the ease of outsourcing in the respective geographies.

How can service providers help enterprises in making outsourcing decisions? What factors are pushing financial services firms to outsource?

Factors like high volumes, technology, and cost margins act as demand drivers for outsourcing from these geographies, as illustrated below.

Let’s take a closer look at some of the geographies that are uniquely placed based on their outsourcing maturity:

Nordics, Western Europe, and the UK – High costs and wages act as major demand drivers for these areas, but tight talent markets create high-cost pressures to scale. The UK and Western Europe also face vendor consolidation issues
Asia Pacific and Latin America – Enterprises based in these regions have to grapple with regulatory challenges and the political environment to varying degrees. Latin America is faced with political and economic uncertainty.

Geographic segments

Based on Everest Group’s assessment, the emerging geographies for BFS have been segmented into the following three categories:

Leaders: UK and Western Europe: have high or full provider coverage in outsourcing and operate in highly competitive markets
Major Contenders: Asia, ANZ, and Nordics: offer high outsourcing potential and scope and less competition
Aspirants: Middle East and Latin America: have high potential but low outsourcing penetration because they are riddled with challenges such as complex regulations, rigid culture, low volumes, etc.

Service provider strategies to seize opportunities in emerging geographies

Each region has unique outsourcing-related differences that should be met with targeted approaches. Service providers willing to make inroads into these geographies must carefully assess the demands and challenges enterprise face. Talent and skill availability, geopolitical risks, and regulations can be obstacles to outsourcing for enterprises and impact costs.

In our report, Emerging Geographies’ Specialized Banking, Mortgage, and Risk and Compliance Needs, we detail these specific nuances and provide recommendations for service providers to approach and expand coverage in each geography.

Some takeaways from our research include:

Enterprises in Asia need a customized, comprehensive services suite to address regional requirements
Providers should increase their focus in ANZ on the underserved mid-tier and smaller banks buying segment
Uruguay and Peru are the outsourcing locations to watch in LATAM
Know Your Customer (KYC) and related procedures are in demand in the Middle Eastern market
Outsourcing demand by enterprises will increase in the financial crime and compliance area in the Nordics
In the UK, traditionally less outsourced segments such as commercial lending and payments are witnessing an uptick
The Western European market is observing the need for ESG operations support from mid and smaller banks in countries such as France and Germany

Please reach out to Sameer Das, Shrey Jain, and Sahil Chaudhary to gain additional insights into the research and to discuss financial services trends.

ChatGPT Trends – A Bot’s Perspective on How the Promising Technology will Impact BPS | Blog

February 9, 2023

What better way to find out how ChatGPT will impact the Business Process Services (BPS) market than to ask the trained chatbot itself this question? According to its answers, the future looks promising. But obstacles still need to be overcome. Learn about the latest ChatGPT trends in this second part of our series.

Since OpenAI released ChatGPT for public testing in November 2022, ChatGPT has generated a lot of buzz. Based on initial impressions, the technology holds great promise to enhance and revolutionize many industries, including customer experience, healthcare, logistics, banking, and education, among others.

With all the attention, it’s natural to wonder how ChatGPT will impact the BPS market. And how better than to hear it straight from the bot? So, our analyst logged in on a session with ChatGPT and had a very direct and long conversation. Here’s what we learned:

Figure 1A Snippet from a conversation with ChatGPT

ChatGPT’s potential to enhance customer experience is fairly well known. It has shown the promise to improve current conversational Artificial Intelligence (AI) solutions and make them sound more human-like, which can significantly change how these services are delivered.

It is already capable of understanding natural language with high accuracy, and with enough training, it can start with taking on simple tasks at contact centers. ChatGPT also can track customer preferences and provide real-time insights that can unlock new opportunities for enterprises.

Exploring ChatGPT trends beyond experience

We were interested in understanding its impact beyond customer experience in other major areas such as back-office, content moderation, and finance and accounting, so we asked ChatGPT.

Below is a summarized finding of how ChatGPT can revolutionize six key areas, according to the conversation. (And we have no reason to believe it might have been exaggerating, unlike, say, an analyst writing something similar).

Back-office: Can automate back-end processes such as data entry, record keeping, and reporting, freeing up employees for more value-adding work
Content moderation: Can assist with content moderation by automatically detecting and flagging potentially harmful or inappropriate content, improving efficiency and accuracy compared to manual moderation
Human resources: Can automate repetitive tasks such as candidate screening, resume filtering, and scheduling interviews, freeing up HR staff for more value-adding work. It can provide quick and accurate responses to candidate inquiries, improving the overall candidate experience and making the hiring process more efficient. Another use is virtual interviewing, making it easier for HR to conduct interviews with candidates located in different locations
Financial and accounting: Can automate tasks such as invoice processing, expense reporting, and budget tracking, freeing up finance staff for more value-adding work
Supply chain: Can assist with supply chain management by providing real-time visibility into inventory levels, shipment status, and other supply chain data, enabling companies to make data-driven decisions and optimize their supply chain
Procurement: Can automate procurement tasks such as vendor management, purchase order creation, and invoice processing, helping procurement teams work more efficiently and effectively

The answers show the technology can potentially have positive repercussions across major areas within BPS. With such huge potential, ChatGPT is expected to impact talent as well. While demand may decline for low-skill jobs such as data entry and transactional customer service, ChatGPT will require new skills such as AI and data analysis, creating new job opportunities in areas such as conversational AI design and deployment. As enterprises adopt ChatGPT and other AI technologies, developing new skills and staying up-to-date with industry trends and advancements will become increasingly important for employees.

While the technology is certainly promising, several factors must be considered for successful implementation, including ethical and legal considerations (such as data privacy and algorithmic bias), integration with existing systems, quality of training data, human oversight, and ongoing development and improvement.

ChatGPT has the potential to significantly impact various areas within BPS. While challenges exist, careful planning and considering factors such as data privacy and ethical implications can lead to successful implementation and ongoing improvement. With careful investments, planning, and further technological advancement, ChatGPT can reach its full potential before too long.

For the first part in our series, see ChatGPT – Can BFSI Benefit from an Intelligent Conversation Friend in the Long Term? To discuss ChatGPT trends, please reach out to Sharang Sharma.

ChatGPT – Can BFSI Benefit from an Intelligent Conversation Friend in the Long Term?

February 2, 2023

With the advent of chatbots reaching human-like sentience and mannerisms, and banks being at the forefront of adopting conversational Artificial Intelligence (AI), the question arises whether ChatGPT threatens the likes of Google, other AI platforms, and the non-critical workforce in the technology and services industries. While its promise remains high, will the banking, financial services, and insurance (BFSI) sector unearth ChatGPT’s full potential? Read on to find out.

ChatGPT has taken the internet by storm and has become a trending sensation overnight. This AI-powered innovative chatbot has taken the world for a spin and is generating a big buzz among millions of professional users experimenting with it. Microsoft has also invested billions in the tool.

But what is ChatGPT? Developed by OpenAI, it is a generative language model that has been trained over large volumes of text to generate human-like responses. Like a search engine, it curates answers for queries but is designed to answer in a more conversational flow that goes beyond chat and delivers a richer experience with an intelligent chatbot. The AI engine generates solutions for all sorts of queries, including R, Python, and VBA codes.

Let’s explore ChatGPT’s potential to impact the future of AI and its usage in the technology and services industry, particularly by financial institutions, banks, and insurers.

What makes ChatGPT approachable and different to use?

The amount of data used to train the GPT model
Human-like interaction
Versatility and variety of responses
Low data input requirements
Highly scalable
Adjustable coherence and adaptability

What does it mean for banking and financial services?

Banks can use ChatGPT in several ways to enhance their operations and customer experience. Here are a few examples:

Assistive chatbots: ChatGPT can be used to build natural language-based chatbots that can assist customers with common inquiries, such as account balances, transaction history, and bill payments. The chatbot also can guide customers through more complex processes like applying for a loan or a credit card. It also could help increase agent efficiency by aggregating requests by type to the appropriate departments
Automation of simple and repetitive tasks: ChatGPT, along with other conversational AI models, can be used to automate simple and repetitive tasks, such as customer service interactions, order processing, and data entry. This can increase efficiency and lower costs for service providers and their clients
Customer service: ChatGPT can assist the human agent in answering customer questions, improving efficiency and response time, and providing more accurate and detailed information. This can improve customer service and satisfaction and employee onboarding
Marketing: Banks can use ChatGPT to analyze customer data and build personalized marketing campaigns that target specific customer segments. It also can generate personalized responses to customer inquiries by fine-tuning the model to a specific client, enabling it to generate tailored responses to their needs
Decision Making: With the right database connections and integrations, ChatGPT can be used to analyze data to generate insights that can be used in decision making
Learning and development: ChatGPT can be used as a learning and development tool. It can be trained with a company’s pre-existing data to create learning tools and modules and as an onboarding tool for new employees

Current mapping of ChatGPT to the BFS BPS value chain

Current use cases of ChatGPT in banking and financial services (BFS) and business process services (BPS) operations are limited. Building capabilities around conversational AI and incorporating ChatGPT into offering portfolios can help BFS and BPS firms unlock innovation. Enterprises such as Microsoft, AWS, and Meta are developing their capabilities internally or through partnerships with conversation AI specialists.

Industries leading in innovation investments are becoming early adopters of ChatGPT. Microsoft is reportedly investing US$10 billion in OpenAI and plans to introduce it along with its Azure OpenAI service bundle in the Bing search engine. This furthers Microsoft’s stake in the market, where it already has a working partnership with OneReach.ai, one of the market’s leading conversation AI providers, since 2019.

Current capabilities still have hurdles to overcome

Although ChatGPT appears to have multiple uses and strengths, some limitations include:

Biased and inconsistent output: Content generated by ChatGPT depends on the trained data, making it prone to biases. It is difficult to achieve the same level of consistency in output generated. Cases requiring more context and complexities may lead to biased and inconsistent output. When training for complex operations such as trade reconciliation, exception management, and know your customer (KYC) remediation, the subject matter experts (SMEs) must be well-versed with minute details, which can’t be guaranteed when using ChatGPT
Standardized data requirement: ChatGPT cannot process different file types or extract information from them. A lot of consumer data is often received in varied file types and formats that require intelligent operations to skim through and sort, which is beyond ChatGPT’s current text-based data capabilities
Largely text driven: Its text-based generated content can fall short of expectations for the coming generation of users that desire more visual stimulation. Dashboards and descriptive analytics have become a basic requirement of all transaction-intensive industries that ChatGPT cannot fulfill
Limited ability to handle sensitive customer information: ChatGPT may not have the necessary security and privacy measures to handle sensitive customer information, such as account numbers or personal identification numbers. With the ever-evolving compliance norms varying across industries, it doesn’t yet have the capability or the secure framework to process, analyze, and interpret KYC or transaction data
Outdated information: ChatGPT’s information database is limited to data up until 2021 and can result in outdated opinions and facts. Deals, news, and updates in recent years aren’t recorded. For a constantly-evolving industry like BFS, where new deals and contracts dictate the capital markets, this makes the source of information unreliable
Ethical concerns: As artificial intelligence improves, the lack of proper credit for AI-generated content is becoming more widespread. The distinction between content created by AI and content created by humans is becoming less clear, causing confusion, mistrust, and ethical dilemmas
System Integration issues: Incorporating new technology with outdated systems can be difficult due to potential incompatibilities and differing protocols or data formats. This can decrease efficiency, add complexity, and impair interoperability

Where will the future take ChatGPT?

While ChatGPT’s future looks promising, it is too early to say the product will revolutionize banking and financial services. Before it gets integrated into banking products, it needs to overcome several hurdles, including:

Responding to competition from rising financial technology (FinTech), regulatory technology (RegTechs), and other AI/Machine Learning (ML) service providers
Meeting regulatory, compliance, and cybersecurity requirements
Catering first to front-office requirements for low-critical queries and then for more complex queries and back-office operations that have not yet been explored
Maintaining high operational efficiency, accuracy, and customer satisfaction
Expanding variation in output categories
Overcoming the lack of recent factual data

Though ChatGPT use cases are promising, it is still a machine learning model that needs modifications to be used in real-world applications. The model would have to consume specific industry data to build domain depth and be programmed to manage contextual nuances for various tasks. Its ultimate success would depend on end customers’ user experiences.

While the road is being paved for innovation, ChatGPT still has a long way to go before making strides into banking and financial services.

To further illustrate the nature of results and drill down on the capacity of ChatGPT, below are some screenshots for financial crime and compliance queries (platforms, codes, advisory):

If you have questions about banking and financial services trends or would like to discuss developments in this space, reach out to [email protected], [email protected], and [email protected].

Also, download our Navigating the Regulatory Tightrope via End-to-End Solutions – Financial Crime and Compliance (FCC) State of the Market 2022 report to explore key trends. Stay updated by following the latest research on Banking and Financial Business Process Services.

Category: Financial Services Industry