Capital Match (Singapore): Head of Data Science

At: Capital Match
Location: Singapore
Web: www.capital-match.com


_Contact_:
Email to hr@capital-match.com

Overview
Capital Match is a leading marketplace lending and invoice financing platform in Singapore. Our in-house platform has in the last year seen more than USD 10 million business loans processed with a strong monthly growth (current rate of USD 1.5-2.5 million monthly). We are also eyeing expansion into new geographies and product categories. Very exciting times ahead of the company!

We have just secured another funding round to build a world-class technology as the key business differentiator. The key components include credit risk engine, seamless banking integration and end-to-end product automation from loan origination to debt collection.

Complementing our technology, we aspire to put data science at the core of everything we do.

Responsibilities

We are looking to hire an experienced data scientist / software engineer with passion for data for a role of the Head of Data Science. Data science needs to impact every stage of our work flow including customer acquisition, operational automation, risk and underwriting, portfolio servicing, marketing and product development.

We have functional teams in every major area (sales, credit, tech, product) and the Head of Data Science would be a cross-functional role improving decision making processes and outcomes across the company. The person would report directly to CEO and the Board of Directors.

The candidate would be expected to:

• Lead a bold agenda around the use of transaction data in new creative ways
• Work with multiple, complex data sources at large scale
• Utilize big data and machine learning to build predictive models including but not limited to customer acquisition, credit risk, fraud, marketing etc.
• Perform thorough testing and validation of models and support various aspects of the business with data analytics
• Identify new data sources / patterns that add significant lift to predictive modeling capabilities

We are looking for an individual who is eager to use data to come up with new ideas to improve decisions, who is driven by making impact through actionable insights and improvements, and who is not afraid to take risks and try new things.

Background in fintech and especially lending / invoice financing space would be a great advantage.

Requirements

• Minimum 5 years of coding, machine learning and large scale data analysis experience.

Our platform is primarily developed in Haskell with an Om/ClojureScript frontend. Deployment and production is managed with Docker containers using standard cloud infrastructure so familiarity with Linux systems and command-line environment would be helpful. Minimum exposure to and understanding of XP practices (TDD, CI, Emergent Design, Refactoring, Peer review and programming, Continuous improvement) is expected.

We are looking for candidates that are living in or are willing to relocate to Singapore.

Offer
We offer a combination of salary and equity that strongly depends on the candidate's experience and skills:

• Salary: USD 5,000-10,000 / month
• Equity: 0.5-1.5% (subject to vesting)

Most expats who relocate to Singapore do not have to pay their home country taxes and the local tax rate in Singapore is more or less 5% (effective on the proposed salary range).

Visa sponsorship will be provided.

Singapore is a great place to live, a vibrant city rich with diverse cultures, a very strong financial sector and a central location in Southeast Asia.