Big Data & Advanced Analytics (Fraud Analytics)

Location: Singapore River, Singapore
Contract Type: Permanent
Specialisation: Technology
Salary: Negotiable
REF: BBBH242058_1588756779

Big Data & Advanced Analytics (Fraud Analytics)

- international bank

- regional project coverage

- excellent opportunity to apply data analytics models to business use in fraud risk, collections

Qualifications :

- bachelor / master / PhD in mathematics, engineering, statistics, finance, economics

- over 10 years experience in advanced analytics, big data, data science, especially leading a team of analytics professionals

- responsible for developing, deploying regional data analytics projects for fraud risk and collections

- develop analytics solutions (AI/Machine Learning Models, tools like NLP, recommendations, text mining, segmentations etc)

- strong in statistical modeling, data mining, neural networks

- strong domain experience in fraud & collections (i.e fraud trends, merchant fraud, transaction fraud, application fraud;
collection analytics)

- be a strong leader for a team of direct reports (mentoring, coaching, developing them) and also be a strong business partnering to other teams (tech, business stakeholdres, external vendors) across the region

- experienced in SAS, Python, R

Ambition is a leading global boutique recruitment business operating across key international cities. We access hard to find, high caliber professionals within Banking & Financial Services, Finance & Accounting, Sales & Marketing, Supply Chain & Procurement, and Technology (IT). We believe our size is a significant differentiator in the recruitment industry. We are big enough to undertake large scale projects for our clients yet retain the soul and personality of a smaller company. We are best known for our specialization with in-depth knowledge and expertise, well-established networks and deep relationships. We work towards 'building better futures' for our clients, candidates and our community.

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EA Registration Number: R1652702
Business Registration Number: 200611680D. Licence Number: 10C5117


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