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安永

FSO Assurance - Financial Accounting Advisory Services (FASS) - Senior/Staff Accountant - Hong Kong

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岗位描述

Our Financial Accounting Advisory Services (FAAS) practice supports clients across Banking & Capital Markets, Wealth & Asset Management and Insurance. We help leading financial institutions address complex accounting, financial reporting, regulatory, data, risk and control challenges. We are seeking a Senior / Senior Associate with broad interest in FAAS and relevant experience in one or more areas such as financial reporting, audit, IFRS 9 expected credit loss (ECL), credit risk modelling, data analytics or the application of artificial intelligence to finance and risk.

FAAS sits within EY’s Assurance – Financial Services Organisation and is a fast-growing and developing practice globally and in Hong Kong. The role offers a dynamic and continuously evolving portfolio of work as we respond to and anticipate client needs. The successful candidate will support accounting advisory and finance transformation engagements, work with client finance and risk functions, and provide specialist support to EY audit teams. ECL, modelling, data analytics and AI will form an important part of the opportunity alongside broader financial reporting, accounting change, controls and regulatory work.

Within EY’s Assurance service line, the team provides a broad range of services, including:

Technical accounting and financial reporting advisory, including accounting policy development, implementation of new standards, GAAP and IFRS conversions, and support on complex transactions and judgements.

Specialist accounting and risk support to audit teams, including assessment of complex estimates and judgements, evaluation of models and data, review of financial statement disclosures, and clear documentation of findings.

Finance transformation, operating model, process, governance and controls improvement, including data, reporting and technology-enabled change.

Regulatory, remediation, transaction and on-call accounting advisory support for financial institutions.

IFRS 9 ECL advisory, including methodology, staging and significant increase in credit risk, forward-looking information, management overlays, governance and financial statement disclosures.

Credit risk and impairment model development, enhancement, implementation and review across probability of default, loss given default, exposure at default and macroeconomic scenario frameworks.

Data analytics, visualisation and AI-enabled solutions to support accounting analysis, portfolio diagnostics, model monitoring, controls testing, management insight and audit evidence.

Regulatory, audit and remediation support relating to credit risk measurement, governance and financial reporting.

On-call accounting, modelling and credit risk advisory support to financial institutions

Responsibilities, Qualifications and Certifications

Responsibilities

Support the delivery of FAAS engagements by completing assigned work to a high standard, managing day-to-day priorities and timelines, and communicating progress and issues promptly to senior team members.

Assist clients in responding to evolving accounting and regulatory developments, including the interpretation and implementation of new standards, accounting policy development, technical analysis, disclosures and remediation of reporting issues.

Support finance, treasury and financial reporting transformation engagements, including governance reviews, process and controls enhancement, finance operating model design, data improvement and technology-enabled change.

Provide specialist support to EY audit teams under the direction of senior team members, including evaluating accounting judgements, models, assumptions, data and controls; preparing clear working papers; and communicating findings in a manner that supports audit quality and independence requirements.

Support IFRS 9 ECL and credit risk engagements, including analysis of staging and significant increase in credit risk, forward-looking information and management overlays, and the development, implementation or review of PD, LGD and EAD models.

Perform data analysis using finance and risk datasets to support accounting analysis, portfolio diagnostics, model monitoring, controls testing and audit evidence, and contribute to practical AI and machine-learning use cases.

Prepare clear analyses, reports and presentation materials; collaborate with accounting, risk, quantitative, audit and technology colleagues; build effective client relationships; and contribute to proposals, thought leadership and practice initiatives.

Requirements

Strong academic background with a bachelor’s or master’s degree in accounting, finance, economics, mathematics, statistics, data science, computer science or another relevant discipline; equivalent education and experience may also be considered.

A relevant professional qualification, such as CPA, CIA, CFA or FRM, or progress towards such a qualification, is preferred. Quantitative, data or model risk certifications are also advantageous.

Typically one to three years of relevant experience in financial services, professional services, audit, accounting advisory, finance transformation, credit risk, impairment modelling, model validation or related risk advisory.

Knowledge of IFRS and financial reporting issues affecting financial institutions, with the ability to research technical matters, analyse information and prepare clear, well-supported work products.

Exposure to IFRS 9 ECL, credit risk, impairment models or model validation is desirable. Experience with Python, R, SQL, SAS or comparable analytics tools, and visualisation tools such as Power BI or Tableau, is advantageous.

Experience in external audit or supporting audit teams is desirable, together with an understanding of audit evidence, documentation, professional scepticism and independence.

Strong analytical, organisational, communication and problem-solving skills; eagerness to learn and strive for excellence; initiative and a collaborative team mindset; and the ability to manage competing priorities. Familiarity with AI and machine-learning applications in finance or risk is advantageous. Professional fluency in English is required; Cantonese and/or Mandarin is advantageous.

What working at EY offers

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and wellbeing, insurance, savings and a wide range of discounts, offers and promotions.

Support and coaching from some of the most engaging colleagues around.

Opportunities to develop new skills and progress your career.

The freedom and flexibility to handle your role in a way that’s right for you.

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in building a better working world.

Apply now!

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