Pre-Sales Analytics

CXC Global (HK); Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

CXC Global (HK) is seeking a role that bridges the gap between sales and technical teams in Singapore. The position requires strong analytical skills and knowledge of credit risk management to address client needs effectively.

Candidates should have a Bachelor’s degree and a minimum of 6 years' experience in banking or consulting, especially in predictive analytics. English communication skills and proficiency in Excel and PowerPoint are essential for presenting solutions to clients.

Qualifications

• Minimum 6 years’ experience with a prominent bank or consulting firm.
• Strong understanding of credit risk management domain.
• Experience in pre‑sales or project delivery management required.

Responsibilities

• Analyze customer requirements from RFP/discussions.
• Create and present proposed analytics/consulting solutions.
• Establish and maintain strong relationships with clients.

Skills

Predictive analytics techniques

Analytical skills

Strong written and verbal English communication

Problem-solving skills

Client relationship management

Excel and PowerPoint proficiency

Understanding of lending business practices

Education

Bachelor’s degree in Statistics, Mathematics, Data Science, Economics or Banking

Master or MBA

Tools

Python

R

Job description

Company Description

CRIF is a global leader in credit bureau, business information, and credit risk solutions. We elevate businesses to the next level with an expert blend of data and analytics. Through data-driven insights, we empower businesses to make confident, sustainable decisions across the credit lifecycle, while mitigating risk and fueling growth. Headquartered in Italy with more than 6,000 professionals worldwide, we operate in 39 countries across four continents. We have a strong presence in Asia with regional headquarters in Hong Kong SAR and Singapore, as well as offices in key cities including Dushanbe, Hanoi, Ho Chi Minh City, Jakarta, Kaohsiung, Kuala Lumpur, Manila, Shanghai, Shenzhen, Taipei, Taichung, Tashkent, Tokyo and Zhongli.

Job Purpose

The role involves bridging the gap between sales and the technical team, focusing on understanding customer needs and aligning CRIF’s analytics and consulting offerings to meet those requirements. This role requires a blend of technical knowledge, analytical skills, and strong communication to effectively demonstrate how CRIF’s solutions can solve customer problems in the Philippines.

Key Responsibilities

• Understanding Customer Needs: Analyze customer requirements from RFP/discussions and understand their business goals and challenges.
• Propose Appropriate Solution: Based on prospective client’s requirements, create an envisioned analytics/consulting solution (in PowerPoint presentation) to address the client and present the solution to client’s key decision makers.
• Address Client Clarifications: Answer the technical and business questions about the proposed solution and its potential improvements.
• Proposal Creation: Create a detailed proposal defining the scope, estimated effort/price and timeline to deliver the solution.
• Delivery Management: Create a project plan and form a delivery team. Provide key data requirements to the client. Assess data quality and sufficiency. Collaborate with internal and external stakeholders. Ensure deliverables meet quality standards. Ensure adherence to project budget and timelines. Present intermediate and final deliverables.
• Building Relationships: Establish and maintain strong relationships with clients to foster trust and collaboration to find cross-sell/up-sell opportunities from existing client.

Minimum Qualifications and Skills

• Bachelor’s degree in Statistics, Mathematics, Data Science, Economics or Banking (Master or MBA considered a plus).
• Minimum 6 years’ experience with a prominent bank or consulting firm developing predictive models in the credit risk management domain.
• Strong analytics and problem‑solving skills.
• Strong written and verbal English communication skills.
• Good understanding of lending business practices and data leveraged throughout the lifecycle of the credit.
• Experience in predictive analytics techniques (regression and machine learning) especially in the credit risk domain.
• Good knowledge of the type of scorecards used in origination, customer management, collections and regulatory practices.
• Experience in pre‑sales or project delivery management of scoring and regulatory solutions in the credit risk domain.
• Proficiency in Excel and PowerPoint skills (Preferred).
• Knowledge of the most common data processing/modelling tools (Python, R or any relevant programming language).
• Knowledge of credit bureau data and its use in lending practices.
• Prior experience of process consulting and pre‑sales in the credit risk domain.
• Experience in regulatory compliance especially Expected Credit Loss (ECL) modeling complying with IFRS9/PFRS9 guidelines.
• Knowledge of financial statements and ratio analysis.