Bajaj Capital is one of India’s most established financial services organizations, with a 61-year legacy spanning retail wealth, insurance, broking, and ultra-HNI advisory.
Operating across 120+ branches pan-India, Bajaj Capital hires at scale across Relationship Managers, Senior Advisors, finance analysts, and technical teams.
With an average of 50+ hires per month, and higher volumes during peak cycles, recruitment is both a strategic and operational priority.
The Challenges
Scaling Hiring in a Limited Talent Ecosystem
Bajaj Capital operates in a highly specialized financial advisory ecosystem. Many roles require candidates who understand multiple financial instruments like life insurance, general insurance, mutual funds, and more while handling book sizes ranging from ₹50 lakhs to ₹10 crores depending on seniority.
At the same time, the talent pool itself is limited. As Alokita explains:
“We hire a lot of people because attrition is fairly common, and we are in a sector which is highly niche and the talent pool is very limited.”
Multi-Region Hiring Across Channels
Bajaj Capital does not hire for one business line. It hires across:
- Retail channels (MNI & HNI segments)
- LAP (Ultra HNI advisory, metro-focused)
- ANG (broker-facing relationship managers)
- IT roles
- Finance and support roles
Each channel demands different skill depth and communication expectations. For example:
- LAP roles require strong English articulation and financial risk comprehension
- Retail roles manage mid-to-high book sizes
- Support roles require functional and technical capabilityIT roles require strong coding skills
Additionally, hiring happens across regions and in regional languages like Tamil, Malayalam, Marathi, Gujarati, and Bengali. This complexity made standardization difficult.
Manual Screening for Technical Roles
Before Goodfit, the first level of screening was largely manual. For technical roles, coding evaluations happened during live interviews.
“The CV used to come to the manager, and while the interview was happening, the assessment would happen. They would ask the candidate to code on screen.”
Alokita Sharma
Senior Manager TM & OD at Bajaj Capital
This created heavy interview volumes. Operating across multiple regions and entities, managing candidate pools required coordination and tracking.
Overall, the team needed a system that could
Standardize first-level screening
Reduce interview fatigue
Improve recruiter–manager alignment
Work reliably across regions
Why Bajaj Capital Chose Goodfit
When Bajaj Capital evaluated AI screening platforms, the decision came down to two things: performance and value. The tool had to deliver measurable efficiency, not just automation. While pricing was competitive, functionality ultimately sealed the deal.
What stood out was Goodfit’s conversational depth and follow-up questioning. Instead of static screening, the platform brought what Alokita described as a more scientific nuance to recruitment.
The team also valued the responsiveness and support during implementation.
“The support team was always quick to respond and took multiple training sessions to help our recruitment team understand the platform.”
The Solution
1. Technical hiring Improved by Coding Assessments
Instead of sending every shortlisted resume directly to hiring managers, recruiters now route candidates through Goodfit’s AI interview first. The impact was immediate.
The clearest example came from IT intern hiring:
"Last year our engineering manager took 60 interviews for hiring 10 interns. When he had an applicant pool of the same amount of interns this time, he only had to take 30 interviews because Goodfit clearly showed us the best candidates to advance to future rounds."
Alokita Sharma
Senior Manager TM & OD at Bajaj Capital
A 50% reduction in interview load for the same hiring outcome.
2. Frictionless Applications with QR Code Screening
One of the most telling examples of Goodfit’s impact came from a finance hiring use case.
For an FP&A Analyst role, instead of routing candidates through traditional resume submissions and back-and-forth coordination, the team experimented with a much simpler approach. Alokita posted a QR code linked directly to the Goodfit screening flow on LinkedIn.
There was no complex setup. No layered funnel. Just direct access to the AI interview.
“I just posted the QR code on LinkedIn and seven to eight interviews happened directly through that. Thanks to Goodfit, we got qualified candidates just by putting the QR code out there.”
Alokita Sharma
Senior Manager TM & OD at Bajaj Capital
For support and finance roles, this showed that Goodfit was not just a screening layer, but also a lightweight, conversion-friendly entry point that could attract and filter serious applicants with minimal effort.
3. Multilingual hiring made easy
Bajaj Capital hires across North, East, West, and South India, including non-metro regions where regional language fluency is critical.
Before Goodfit, this created operational friction.
With Goodfit, interviews could be conducted in regional languages.
"Our South team aimed to hire talent who were fluent in their regional language. With Goodfit we could easily conduct interviews in different languages and identify the right ones for our team."
Alokita Sharma
Senior Manager TM & OD at Bajaj Capital
The team has used:
- Tamil
- Malayalam
- Marathi
- Gujarati
- Bengali
This enabled structured screening without forcing English-only interviews, especially outside major metro cities.
Structured Feedback and Stronger Hiring Alignment
One of the key improvements Goodfit brought was structured evaluation before manager rounds. Instead of relying on subjective feedback such as “not a good fit,” recruiters now had recorded interviews and structured responses to reference.
With Goodfit, we can show the video and say, ‘Look at what this candidate has answered.’ That makes feedback clearer and hiring decisions much stronger.
Alokita Sharma
Senior Manager TM & OD at Bajaj Capital
This improved alignment between Talent Acquisition and hiring managers. Recruiters could point to specific answers, communication clarity, and technical responses when discussing candidate quality. The result was more specific feedback, clearer rejection reasoning, and stronger internal accountability in decision-making.
Reduced Administrative Overhead
Beyond screening quality, Goodfit simplified candidate management across regions and roles. Administrative coordination reduced significantly because:
- First-round screening no longer required scheduling live calls
- Candidate evaluation artifacts were centralized
- Non-recruitment stakeholders could independently review interviews
This reduced dependency on manual coordination and improved process reliability, especially across multiple branches and hiring teams.
At enterprise scale, lowering administrative friction directly improves recruiter productivity and operational efficiency.
Resume review + live screening interviews
AI interviews + structured screening
Coding during live interviews
Coding assessments before interviews
Hiring manager involvement
Managers interviewed large candidate pools
Managers review only shortlisted candidates
Multiple scheduling rounds
Async evaluation via interview recordings
The Results
Thanks to Goodfit, Bajaj Capital achieved:
50%
Reduction in time-to- fill
Also achieved:
- Better alignment between recruitment team and senior management
- Increase in recruitment team productivity
What’s Next for Bajaj Capital
Bajaj Capital is now looking to implement psychometric assessments in their hiring processes. The team is also exploring improvements around referrals and deeper MIS-level insights to make hiring even more structured across regions.
