Analytics & Data Science In Indian Financial Sector – A Deep Dive 2019: By AIM & Jigsaw Academy

Over the last few years, financial institutions have achieved exponential growth, driving innovation in the sector by building enterprise-wide analytics capability, that is now woven into the key business processes throughout the organisation. Much of the growth in analytics jobs is also credited to the fintech boom in India – led by top digital payments firms Paytm and PhonePe that leverage data analytics to not only digitize cash payments but also scale the reach of their customers.

The emerging fintech ecosystem in India has created a slew of opportunities in data analytics and AI space. On the other end of the spectrum is tremendous innovations happening in the Financial Services (FS) organisations space with banks and financial institutions applying advanced analytics and machine learning across the entire business model. Today, banking and financial services industry has adopted analytics across three broad functional areas – customer satisfaction, risk management and operations analytics.

Our annual study done by Jigsaw Academy and AIM captures the data-heavy financial ecosystem in India and dives into the talent market unpacking key trends across jobs, salaries, hiring trends, top financial companies in India hiring financial analytics talent and the AI talent divide across companies. The research also reveals what’s hampering the growth and innovation story is the big talent challenge facing financial institutions.

AIM Daily XO

Join our editors every weekday evening as they steer you through the most significant news of the day, introduce you to fresh perspectives, and provide unexpected moments of joy
Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.

Key Trends

  • The size of the analytics industry in the financial sector is currently estimated to be $1.2 billion (annual) in revenue
  • Currently, there are approximately 60,000 data science and financial analytics professionals in India, working in the finance sector
  • According to our research, 7,000 freshers were added to the financial analytics workforce in India in 2018
  • Mumbai continues to be the financial hub with 33% analytics professionals working in the financial capital
  • The median financial salary is India is INR 13.4 lakh across all experience level and skillset
  • On average, the entry-level salary for financial analytics professionals is less than INR 6 lakh while 3% of financial analytics workforce takes home more than INR 50 lakh
  • Women participation is skewed with only 27% of women making up the financial analytics workforce in India
  • Top skills FIs look for are Data Analytics, Marketing Analytics, Predictive Modeling, Business Analytics, SAS, Campaign Management & Business Intelligence

Work Experience Of Financial Analytics Professionals in India

  • The average work experience of Data Scientists in financial industry in India is 7.2 years, marginally lower than the overall average number of 7.9 years
  • Around 7,000 freshers were added to the financial analytics workforce in India this year
  • Almost 45% financial analytics professionals in India have a work experience of fewer than 5 years, same as last year
  • 23% of financial analytics professionals have more than 10 years of work experience
  • Women participation in financial analytics workforce remains low – only 27% of financial analytics professionals constitute the workforce

Tenure  Of  Analytics Professionals

  • On average, financial analytics professionals in India have joined/transitioned to their current role in the last 3.1 years
  • 61% financial analytics  professionals in India transitioned to their current role in the last 2 years
  • Just 16% stay in the same role for more than 5 years

Leading  Cities  Hiring  Financial  Analytics Professionals

  • Mumbai leads the cities in terms of the size of ecosystem. 33% of financial analytics professionals in India are working in Mumbai
  • This is closely followed by Bangalore at 24%

Top Financial Analytics Companies in India

  • The 10 companies that employ the maximum number of financial analytics professionals in India are HSBC, American Express, ICICI Bank, Moody’s Analytics Knowledge Services, Citi, JPMorgan Chase & Co., HDFC Bank, Axis Bank, EY & Barclays
  • Close to 250 companies in India work on financial analytics in some form. This includes a small number of companies into products and a larger chunk offering either offshore, recruitment or training services
  • Moreover, the number of vertical financial analytics companies in India is less as compared to North America and Asia Pacific. India accounts for just 7% of global Analytics companies

Company Size

  • On average, Indian financial analytics companies have 340 employees on their payroll
  • Almost 88% of financial analytics companies in India have less than 200 employees.

Analytics Talent Divide Across Companies

  • Almost 59% of financial analytics professionals in India are employed with large-sized companies(with a total employee base of 10k+)
  • Mid-size organizations (total employee base in the range of 200-10K) employ 30% of all financial analytics professionals in India
  • Startups (less than 200 employee base) employees form 11% of financial analytics professionals in India
  • A large percentage of financial analytics professionals are absorbed by large service providers or MNC captive units
  • This is also a clear indication of the financial analytics talent divide between enterprises and startups in India, which will only continue to widen further

Financial Hubs in India

  • 41% of all companies that work on financial analytics in India are based out of Mumbai, the financial capital of India
  • This is followed by Bengaluru at 18%

Financial Analytics Jobs & Salaries in India

  • The median financial analytics salary in India is INR 13.4 Lakhs across all experience level and skill sets.
  • Around 36% of financial analytics professionals in India have an entry-level salary of less than 6 Lakh
  • Almost 3% of financial analytics professionals in India command a salary higher than 50 lakh
  • While it is difficult to ascertain the exact number of open financial analytics job openings, according to our estimates, close to 36,000 positions related to financial analytics are currently available to be filled in India
  • 10 leading organizations with the highest number of financial analytics openings this year are – Fidelity Business, eClerx Services, Bajaj Allianz, Morgan Stanley, RBS India Development, HDFC Bank, Ernst & Young, Invesco, PwC & ICICI
  • The top skill sets that financial analytics employers are looking for are Data Analytics, Marketing Analytics, Predictive Modeling, Business Analytics, SAS, Campaign Management & Business Intelligence

Financial Analytics Jobs By Cities

  • In terms of cities, Mumbai accounts for around 28% of financial analytics jobs in India.
  • Delhi/NCR comes very close second contributing 28% jobs in India.
  • Approximately 21% of financial analytics jobs are from Bengaluru

Key Takeaways

Innovation Drivers in the Financial Ecosystem

  • As banks and financial institutions transform to become data-driven enterprises, digital technology will soon become the backbone of FIs
  • In order to build a sophisticated analytics capability, banks and FIs are now investing along several important dimensions – technology infrastructure, strengthening processes and people
  • Another key area emerging is banks and major FIs are setting up dedicated analytics and AI CoEs in strategic partnerships with fintech and knowledge mentors to drive the innovation story forward
  • Increasingly, the financial industry has started leveraging in-built analytics, machine learning and AI capabilities for specific use cases to drive profitability and growth

Rethinking Talent Strategies

  • The key traits financial institutions look for when hiring talent are:  quantitative and technical skills as well business acumen to generate insights. The core capabilities required are ability to use statistics, quantitative analysis and information-modelling techniques to make business decisions
  • There’s also a fundamental rethink in terms of people strategy with most FS organisations in India fostering a culture of innovative thinking and embracing hacks for hire to bolster their human capital.
  • In order to meet the growing talent demand, financial organisations are investing in developing robust learning modules and skill development programmes to reskill staff
  • Most leading financial organisations are now taking an active step and partnering with third-party institutions to train and source talent. This is in a way, is paving the way for talent exchanges

Corporate Training As A Key Indicator of Changing Trends in the Financial Sector

 There has been a significant shift in mindset when in comes to upskilling. Earlier the focus was on the upskilling of a few isolated people in a core data science team. However, organisations have now begun to realize that in order to derive competitive advantage from data, every employee must become data literate and “data smart”. There has been a strong demand for analytics training across levels and training at scale. Taking a top-down approach, this has spanned across an appreciation program for senior leadership, followed by a more hands-on training for the data enabled roles (basically, anyone in the organization who has access to or works with any kind of data) and finally, specialized and more advanced training for the existing data science team.
Functions across banking and finance (risk, marketing, operations, collections, regulation, governance, reporting etc) have begun to increasingly rely on big data analytics to optimize their performance. This has resulted in an increasing demand for data scientists who are highly specialized. In particular, Machine Learning has become a dominant force and there is significant demand for hyper-specialized skills in Machine Learning and Deep Learning.
The emergence of the analytics hub, like a centre of excellence for analytics. The hub consists of a pool of data scientists who work across functions and do the heavy lifting. A centralized team puts the data scientists in a large group where best practices are easy to share and every data scientist is exposed to new skills a lot faster than when they are in smaller, siloed teams. Typically, the smaller, faster, usually non-strategic kinds of analyses can be done within the smaller, internal teams and bigger,more strategic analysis goes to the centralised team.

Way Forward

Judging the impact of artificial intelligence and automation on job roles and skill-set, and how it will redesign jobs frameworks, (for eg. AI’s robo-advisors have replaced financial advisors), FS organsiations are now doubling down on closing the talent gap by collaborating with leading institutes and stakeholders to even out the supply and demand gap. In an automated world, financial organisations have recognized the changing skills demand and in order to keep pace with the market, organisations are teaming up with stakeholders to develop tailored solutions for talent management and develop work-ready workforce. 

Download our Mobile App

Here’s the complete Report


Sign up for The Deep Learning Podcast

by Vijayalakshmi Anandan

The Deep Learning Curve is a technology-based podcast hosted by Vijayalakshmi Anandan - Video Presenter and Podcaster at Analytics India Magazine. This podcast is the narrator's journey of curiosity and discovery in the world of technology.

Richa Bhatia
Richa Bhatia is a seasoned journalist with six-years experience in reportage and news coverage and has had stints at Times of India and The Indian Express. She is an avid reader, mum to a feisty two-year-old and loves writing about the next-gen technology that is shaping our world.

Our Upcoming Events

24th Mar, 2023 | Webinar
Women-in-Tech: Are you ready for the Techade

27-28th Apr, 2023 I Bangalore
Data Engineering Summit (DES) 2023

23 Jun, 2023 | Bangalore
MachineCon India 2023 [AI100 Awards]

21 Jul, 2023 | New York
MachineCon USA 2023 [AI100 Awards]

3 Ways to Join our Community

Telegram group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our Daily newsletter

Get our daily awesome stories & videos in your inbox

Council Post: The Rise of Generative AI and Living Content

In this era of content, the use of technology, such as AI and data analytics, is becoming increasingly important as it can help content creators personalise their content, improve its quality, and reach their target audience with greater efficacy. AI writing has arrived and is here to stay. Once we overcome the initial need to cling to our conventional methods, we can begin to be more receptive to the tremendous opportunities that these technologies present.