KPMG China operates in 21 cities across China, with around 12,000 partners and staff in Beijing, Changsha, Chengdu, Chongqing, Foshan, Fuzhou, Guangzhou, Haikou, Hangzhou, Nanjing, Qingdao, Shanghai, Shenyang, Shenzhen, Tianjin, Wuhan, Xiamen, Xi’an, Zhengzhou, Hong Kong SAR and Macau SAR.KPMG...

KPMG China operates in 21 cities across China, with around 12,000 partners and staff in Beijing, Changsha, Chengdu, Chongqing, Foshan, Fuzhou, Guangzhou, Haikou, Hangzhou, Nanjing, Qingdao, Shanghai, Shenyang, Shenzhen, Tianjin, Wuhan, Xiamen, Xi’an, Zhengzhou, Hong Kong SAR and Macau SAR.

KPMG is a global network of professional services firms providing Audit, Tax and Advisory services. We operate in 153 countries and territories, and have 207,000 people working in member firms around the world.

Associate Director, Forensic Data & Analytics, Risk Consulting

Job level Senior
Work exp Minimum 8 Years
Education Bachelor Degree
Location
Within Hong Kong
Employment type Full Time
Industry Accounting / Audit / Taxation
Job function Accounting > Management Consulting
Legal / Professional Services > Business Consultancy
Published On 08/11/2019
ref. 145509BR

In KPMG’s Forensic practice, we provide clients with risk management and financial expertise in the areas of fraud and misconduct investigations, financial crime risk management (including anti-money laundering, counter-terrorist financing, anti-bribery and corruption), sanctions risk management, intellectual property and contract compliance services, fraud risk management, forensic technology and corporate intelligence.

Forensic technology (F-tech) is currently looking for an Associate Director specialising in data analytics to join the rapidly expanding team in Hong Kong. As part of this team, you will be working with a broad range of clients within the financial services sector (Banking, Securities and Investment Management, Insurance and FinTech), to help design and deliver full scope data analytics related solutions. Recognising the power of integrating database and statistics science, data analytics is used to identify and capture anomalies and suspicious information within structured and unstructured data as part of fraud detection, detection of potential money laundering and predictive analytics on potential suspicious activities.

We are looking for an associate director candidate with specific experience and skills in the below categories:

Business development
- Building strong and lasting client relationships through excellent interpersonal skills
- Creating innovative and successful consulting solutions that enhance, integrate and expand our forensic data & analytics capability as a whole
- Identifying project opportunities and leading the development of proposals 
- Playing an active role in helping to develop our core forensic data & analytics capabilities, products and services 

Client service
- Planning and overseeing the delivery of engagements or projects, including responsibility for the review and quality assurance of deliverables
- Delivering the highest quality service to our clients, meeting and exceeding their expectations
- Building lasting relationships with key client stakeholders
- Identifying and managing risks whilst maximising profitability and ensuring the Firm's frameworks are implemented appropriately and effectively
- Developing and sustaining new client relationships

Practice development
- Utilising previous and ongoing experience to build and develop knowledge within the team
- Helping our junior team members to develop through mentoring and monitoring in the role of a Performance Manager and by disseminating experience throughout the team
- Articulating the value propositions to clients and internal staff, acting as a champion for Forensic data & analytics across the firm
- Taking an active role in the growth of the Forensic data & analytics team and supporting the development of other team members through coaching and mentoring
- Developing thought leadership in area of expertise

The individual will have

- Bachelor's degree or above in Statistics, Mathematics, Computer Science, Engineering, Physics, Information System or any discipline with strong quantitative elements
- A minimum of 8 years of experience relating to Data & Analytics, with at least 5 years in delivery experience for statistical modelling and data science related works.
- Transaction monitoring system implementation or tuning experience – Actimize, MANTAS, etc.
- Demonstrated expertise in machine learning techniques – e.g., logistic regression, random forest, support vector machine, cluster analysis, KNN, naive Bayes, dimensionality reduction, Bayesian methods and time series modelling
- Experience in working with Databases and ERP systems (SAP, IBM DB2, Oracle)
- Expertise in data visualization techniques and software such as IBM i2, Tableau or Spotfire
- Hand-on scripting and programming experience with at least two of the following common data science tools: Python, R, SQL, Matlab, C++, C# or Scala
- Experience in Natural Language Processing (NLP) or text mining is preferred
- A data-oriented mind-set, enjoy facing new challenges and learn new data science technology skills
- Broad knowledge of financial crime risks (anti-money laundering, counter-terrorist financing, sanctions, anti-bribery and corruption, fraud and misconduct)
- Strong communication skills with capability of translating business requirement into technical needs and articulating technical concepts or results to non-technical audience
- Flexible and adaptive to work either independently or lead remote development teams in a fast-paced environment
- Proven project management skills including planning, designing and shaping project work streams, managing progress, resolving issues and limiting risks
- Experience working in a consulting environment is preferred
- Good English language skills; Mandarin skills preferred but not required

We offer successful candidates an attractive remuneration package and the opportunity to work in a dynamic and exciting environment.

Personal data collected will be used for recruitment purposes only.

© 2019 KPMG, a Hong Kong partnership and a member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative ("KPMG International"), a Swiss entity. All rights reserved.