EY Advisory - FSO - Risk Advanced Analytics – Senior in Beijing, China

Advisory - FSO - Risk Advanced Analytics – Senior

Advisory

Requisition # BEI001LD

Post Date Jun 21, 2018

Across the banking and capital markets, insurance, asset management, energy and corporate treasury sectors, our clients require integrated risk management and regulatory advice. You’ll help them by providing strategy and implementation support. You’ll work in high-performing teams alongside risk management professionals, quantitative analysts, risk technology architects, control professionals and former regulators. Together, you’ll help clients better assess and improve their risk and regulatory frameworks.

Your career is yours to shape. But we’ll provide a structured framework that allows you to grow. And with a network stretching around the globe, you’ll gain valuable insight across industries and geographies. So whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

Responsibilities

Who we are?

Ernst & Young’s Advanced Analytics Services (AAS) professionals have helped a variety of financial services institutions improve quantitative processes by providing objective advices and services that are tailored to their needs, instill confidence in the models and methodologies deployed and help execute sustainable improvements.

Differentiated by our ability to leverage sophisticated quantitative skills, artificial intelligence capabilities, practical marketplace experience and global resources, we have a deep knowledge of risk measurement and valuation, modeling techniques and the technologies used to apply these within an effective infrastructure.

What we do?

  1. Derivatives valuation and benchmarking We provide assurance and advisory services that assist in improving audit quality and financial statement reliability through a thorough review of derivative valuations, pricing and risk measurement as well as the associated processes and methodologies. Because we have independently revalued thousands of derivative transactions, we leverage leading practices and provide market insight that helps improve valuation, risk measurement and risk control methods.

  2. Artificial intelligence modelling With the extensive hands-on experiences in the financial industry over a decade, we understand the business no less than the institutions do. Due to the increasing needs of artificial intelligence from business, we leverage on our in-depth quantitative techniques to provide practical solutions based on machine learning models for commercial applications. Our service covers problem definition, data acquisition, data exploration and visualization and experimenting with machine learning algorithms to support institutions in making effective decisions. Additionally, our team works collaboratively to develop and deploy machine learning based strategies across a variety of asset classes in domestic and overseas markets to meet business needs.

  3. Model review and validation As the complexity of financial markets and products increased, so has the reliance on financial models. Today, models are widely used across a broad range of valuation and risk measurement processes and have become a critical tool for management decision-making and external reporting. Additionally, regulators and shareholders are looking for greater disclosure regarding the models utilized, including their assumptions and inputs. Our AAS team has hands-on industry experience, strong technical skill and a thorough understanding of supervisory, shareholder and business stakeholder expectations. We have conducted model reviews and performed validation services for a wide variety of leading third-party and proprietary models covering market risk, credit risk, operational risk, economic capital, pricing, valuation and capital reserves.

  4. Model development and implementation We recognize that not all institutions have the time, skill or resources to develop valuation and risk models. Ernst & Young’s AAS professionals leverage their model development and implementation experience, solid quantitative skills and in-depth knowledge of interest rate and credit derivatives products, structured finance products and capital markets to assist institutions that are unable to tackle these projects in-house. Our model development and implementation services cover a wide range of products in banking, insurance and asset management and use a variety of standard programming languages, such as C, C++, C# and VBA.

  5. Valuation and risk system implementation Our services include defining business requirements, developing technical specifications, requests for information (RFIs) and requests for proposals (RFPs), evaluating and selecting systems, assisting in customization and implementation, mapping and converting data, benchmarking models and data, writing reports and testing development and execution.

Requirements:

We are looking for a few candidates to fill in the positions of Advanced Analytics Services (AAS) group in Beijing. We are interested in competent candidates who want to further develop their quantitative and artificial intelligence skills. The ideal candidates are:

  1. Master or Ph.D. degree in quantitative field, such as Mathematics, Statistics, Mathematical Finance and artificial intelligence related;

  2. Solid background in mathematical finance or machine learning; in-depth knowledge of probability theory, stochastic processes, optimization theory and numerical analysis is a plus;

  3. Hand-on experience with at least one of the programming language of VBA, R, Python, Java, C++ and Matlab, familiar with MapReduce, Spark, Caffe, TensorFlow or Nervana Neo is a plus;

  4. Fluency in written and spoken Mandarin / English ideally;

  5. Excellent communication and interpersonal skills and proficient with MS Excel and Word is a must.