JOB DETAILS
Job description
Managing End-to-end recruitment cycle.
Work closely with hiring managers and department heads to understand their staffing needs, job requirements, and team dynamics.
Develop comprehensive recruitment strategies for various IT/ non IT roles, considering different sourcing channels and candidate pools.
Utilize various sourcing methods such as job boards, social media, networking events, referrals, and direct sourcing to identify potential candidates.
Candidate Screening and Assessment: Review resumes and applications to identify candidates who meet the job requirements and organizational culture fit.
Conduct initial phone screenings and interviews to assess candidate s qualifications, motivations, and alignment with company values.
Coordinate and schedule interviews between candidates and hiring.
Maintain regular communication with candidates throughout the recruitment process, keeping them informed about their application status.
SKILLS
Essential:
Should be able to work on Functional Recruitment.
Should be handling End to End Recruitment cycle
Good communication writing skills
Role: Data Science & Machine Learning - Other
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate
PG: MBA/PGDM in Marketing
Key Skills
HR ExecutiveNetworkingStaffingSocial mediaSourcing ExecutiveHRManagementRecruitment managementRecruitment
COMPANY DETAILS
About company
Cognexts mission is to build a cloud-native, end user-focused cognitive platform by leveraging our deep domain expertise that will make regulatory compliance & analytical process in Financial Institutions transparent, interactive, explainable, adaptable, scalable, and cost-effective.
CogNext is a next-generation RegTech that allows banks and financial institutions to automate and digitize analytical processes at an enterprise scale, and solving problems at scale requires intelligence from algorithms (AI-ML), the ability to connect data pipelines seamlessly in the evolving technology stack (Engineering) & deep understanding of human behavior and how they make decisions (Design).