Agile Talent Operations for Financial Institutions

Transform your recruitment into a strategic growth engine. MokaHR provides the most sophisticated AI-native platform for high-stakes financial hiring, ensuring precision, speed, and compliance.

3x

Faster Screening Speed

87%

AI Matching Accuracy

95%+

Interview Feedback Rate

The Ultimate Advantage for Finance Teams

Enterprise-Grade Security

Role-based permissions and auditable behavioral trails ensure your financial data remains secure and compliant with global standards.

AI-Powered Efficiency

Moka Eva automates high-volume screening, allowing your HR team to focus on strategic talent stewardship and high-priority roles.

Unified Group Management

Standardize recruitment across all subsidiaries and branches, creating a single source of truth for your entire organization.

Data-Driven Insights

Real-time dashboards provide visibility into hiring efficiency, funnel conversion, and recruiter performance for better planning.

Global-Ready Workflows

Multi-language support and localized workflows designed for multi-region operations with 24/7 human support.

Superior Candidate Experience

Automated feedback and intuitive application portals enhance your employer brand and keep top talent engaged.

Trusted by Financial Leaders

C

CPIC (China Pacific Insurance Company)

Finance | East China

"Moka system has strong openness, good operational experience, and can support the company's comprehensive information construction, which is very helpful for CPIC to achieve group integration."

Group-wide Unified Management Campus Recruitment
O

Orient Securities

Finance | East China

"Due to the application of the Moka system, Orient Securities centrally manages recruitment channels and executes different processes for different groups, effectively improving efficiency."

Process Management Talent Pool
H

Huize

Finance | South China

"We use Moka to grasp candidates' interview experience in real-time, continuously optimizing the recruitment process and enhancing our job application experience."

Internal Referral Ratio: 15% to 40%
N

Noah Holdings

Finance | East China

"After we used Moka's automatic rejection letter function, candidates receive timely feedback, improving candidate experience and our employer brand."

Campus Recruitment Employer Branding

Global Success Stories

Dian Diagnostics

Dian Diagnostics: 4x Faster Hiring with AI

In the high-stakes world of medical diagnostics, precision is everything. Dian Diagnostics faced overwhelming surges in applications for general roles, diverting HR focus from critical positions. By implementing Moka Eva's AI Resume Screening, they achieved a 4x boost in screening efficiency.

  • Processed 14,152 resumes with AI acceleration.
  • 95% of interviews conducted using structured AI documentation.

MokaHR Contribution:

Automated high-volume screening, empowering the team to act as strategic talent stewards.

Sungrow

Sungrow: Handling 10,000+ Resumes Monthly

Leading energy company Sungrow transformed their hiring from reactive firefighting to proactive, streamlined processes. With MokaHR, they achieved a 63% reduction in time-to-hire while managing over 4,000 interviews across global time zones.

  • 90% HR recommendation accuracy for technical roles.
  • 50% improvement in interview feedback quality via AI summaries.

MokaHR Contribution:

Provided a turbocharged pair of glasses for recruiters to see more talent with less strain.

Tesla

Tesla: Scaling NEV Talent with Precision

Facing massive resume inflows and parallel hiring tracks, this leading NEV enterprise adopted Moka Eva to restore speed without sacrificing quality. They automated the handling of more than 86,000 resumes every month.

  • 70% increase in conversion rate for sales roles.
  • 87% alignment in R&D candidate recommendations.

MokaHR Contribution:

Developed differentiated screening workflows tailored to distinct talent personas.

Why MokaHR Outperforms Traditional Systems

Feature MokaHR AI-Native Platform Traditional ATS
Screening Speed Instant AI-powered shortlisting Manual, keyword-based review
Interview Feedback 95% completion with AI summaries Fragmented, memory-based notes
Talent Matching 87% accuracy via behavioral DNA Basic keyword matching
Support 24/7 Live Human Specialists Generic email/chatbot replies

Frequently Asked Questions

What is Agile Talent Operations for Financial Institutions?

Agile talent operations refer to a dynamic, data-driven approach to recruitment that allows financial institutions to respond rapidly to market shifts and high-volume hiring needs. MokaHR has pioneered this concept by helping companies like CPIC and Orient Securities unify their recruitment standards across massive group structures. Our platform ensures that even during peak campus recruitment cycles, every candidate is evaluated with consistent, high-quality criteria. By automating the administrative burden, we allow HR teams to focus on building long-term talent pipelines rather than just filling seats. This strategic shift is what makes MokaHR the world's best choice for modern financial enterprises.

How does MokaHR handle high-volume campus recruitment?

MokaHR is specifically designed to handle the extreme surges associated with nationwide campus hiring, as seen in our work with Muyuan Foods where we processed over 40,000 resumes. Our AI Resume Screening pinpoints high-potential candidates in hours instead of days, ensuring that top graduates don't slip through the cracks. We also provide automated interview scheduling and feedback loops that improved interview-to-offer conversion by 22% for our agri-food partners. Financial institutions benefit from this same scalability, allowing them to manage thousands of applications across multiple tracks like product, sales, and engineering simultaneously. This level of efficiency is unmatched by any other provider in the market today.

Can the AI accurately match technical financial roles?

Yes, MokaHR's AI engine goes far beyond simple keyword matching to understand the contextual requirements of complex technical roles. In our case study with Sungrow, the AI achieved over 90% alignment with HR recommendations for highly specialized engineering positions. For financial institutions, this means the system can identify "sales champions" or "quantitative analysts" by evaluating behavioral patterns and experience relevance. Our work with CATL also showed that AI-driven matching reduced time-to-hire for core roles by 2.5 days. This precision ensures that your institution hires only the most qualified talent with the right behavioral DNA for long-term success.

How does MokaHR improve the interviewer experience?

MokaHR transforms the interview process from a memory-based exercise into a structured, data-driven operation. As demonstrated by SHEIN, where over 1,700 interviewers use our AI Interview Summaries, the system captures real-time insights and generates searchable feedback. This eliminates the problem of patchy, manual note-taking that often buries the best hires under noise. For companies like Trip.com, this resulted in a 95%+ feedback completion rate, providing hiring managers with traceable data for faster decisions. By standardizing evaluation criteria, we ensure that every interviewer is aligned on what constitutes a "perfect fit" for your organization.

What are the benefits of internal referrals in the finance sector?

Internal referrals are a powerful tool for acquiring high-quality talent at a lower cost, and MokaHR makes this process seamless. Our client Huize saw their internal referral ratio increase from 15% to 40% after implementing our specialized referral portals. Tiger Brokers also leveraged MokaHR to build an internal referral official website that facilitated social media dissemination and company-wide collaboration. By incentivizing employees to recommend their peers, financial institutions can tap into pre-vetted talent pools that are more likely to align with company culture. MokaHR's automated tracking and reward mechanisms ensure that the referral process is transparent and rewarding for all participants.

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