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Financial Services - Finance & Risk - Data Scientist - Manager

Job Location: Sydney

Job Number: 00464022

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- Job description

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions – underpinned by the world’s largest delivery network – Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With approximately 384,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.

 

About Accenture Financial Services practice

The Financial Services Operating Group serves all major industry segments in Banking, Insurance and Capital Markets - serving more than 700 unique clients in 24 countries. Among Accenture's clients are more than 86 percent of the Financial Services companies in the Fortune Global 500. The Financial Services operating group helps clients succeed in a dynamic and increasingly global market environment that includes cost and profitability pressures, industry consolidation, regulatory changes and the need to continually adapt to new technologies. The services offered are designed to help clients increase cost efficiency, grow their customer bases, manage risk and transform their operations.

About Accenture Finance & Risk

Banks, capital markets and insurance firms face extraordinary challenges related to profitability, complexity and new regulations in an uncertain economic environment, an environment we refer to as one of "permanent volatility."

Accenture Finance & Risk Services can help financial services firms focus upon the three key challenges of increasing profitability, reducing complexity and managing regulations. Accenture draws on its end-to-end transformation capabilities, as well as core strengths in management consulting, technology, analytics and outsourcing to help firms address complexity, volatility while creating sustainable competitive advantage.

Accenture Finance & Risk Services brings together Accenture’s industry knowledge, consulting technology and outsourcing capabilities to develop solutions that can help clients strengthen their competitive position and enhance their profitability.

About the Role

The Finance & Risk Data Scientist Manager is accountable for assisting on execution of the strategy of data analysis, data quality, analytics and modelling offerings in the region. The successful individual will be an experienced data scientist, capable of supporting the go-to-market strategy, orchestrating and building data and analytics practice assets and capabilities, and creating thought leadership on data and analytics developments in the financial services market. The functional coverage of this consulting practice extends across financial services’ risk and regulatory frameworks, finance processes, risk transformation, risk and regulatory remediation, optimising risk and regulation implementation and ongoing adherence and delivering the technology solutions required to enable insights through analytics.

This Manager will be able to define and deliver how Accenture will bring together all its data and analytics offerings (strategy, management consulting, technology solutions, systems integration, and operations) in an integrated way that provides a compelling value proposition to financial services institutions today.

Data Scientist that will help Acccenture’s clients discover the information hidden in vast amounts of data, and help our clients make smarter decisions to deliver better finance and risk capabilities for our clients. The primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems whilst working with our existing capability in the Digital and Analytics teams. 

Another key role for this position is that of supporting Practice Development. In supporting this business area, the successful manager must not only be skilled at business planning but also in the operational activities that come with supporting a practice: managing consulting teams and supporting the culture in being leaders in compliance consulting. To achieve this, he/she must be able to work effectively in a global matrix of financial services sector heads and service line practice leaders who will contribute, follow and support the strategic roadmap for integrated business services.

Successful candidates for this position will be experienced in data and analytics services and/or consulting services for Financial Services or have moved on to relevant manager-level industry roles in Financial Services. The manager must demonstrate expertise in the following knowledge areas:Selecting features, building and optimizing classifiers using machine learning techniques

  • Data mining using state-of-the-art methods

  • Extending clients’ data with third party sources of information when needed

  • Enhancing data collection procedures to include information that is relevant for building analytic systems

  • Processing, cleansing, and verifying the integrity of data used for analysis

  • Doing ad-hoc analysis and presenting results in a clear manner

  • Creating automated anomaly detection systems and constant tracking of its performance

 

 

 

Skills and Qualifications

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable

  • Great communication skills

  • Experience with data visualisation tools, such as D3.js, GGplot, Tableau, Qlikview etc.

  • Proficiency in using query languages such as SQL, Hive etc.

  • Experience with NoSQL databases

  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.

  • Good scripting and programming skills 

  • Data-oriented personality

  • Develops strong and effective working relationships based on mutual respect and trust.

  • Authentic in his/her leadership style. Projects confidence, optimism and energy to encourage people on what they can achieve.

  • Strives to help others succeed. Shows an active interest in others and cares about them

  • Team oriented and collaborative working style, both with clients and those within the internal organization

  • Shows character under pressure. Professional and ethical in all business dealings.

  • Ability to conceive and articulate an inspiring vision/ future direction using analytics and data

  • Ability to examine issues from a broad perspective; considering impact beyond immediate scope.

  • Ability to leverage synergy opportunities across functions and businesses.

  • Identification of key business opportunities and challenges.

  • Takes charge and makes tough decisions. Demonstrates a "can do attitude".

  • Proactive and fearless. Moves beyond his or her comfort zone in pursuit of Accenture's vision.

  • Effective communicator, good listener with strong inter-personal skills.

  • Role model who engenders loyalty and longevity among staff.

Basic Qualifications:

  • Bachelor’s degree in STEM

  • 8+ years of professional experience

  • 7+ years Financial Services/Banking experience

  • 6+ years’ experience in analytics and data

Preferred qualifications:

  • At least 6 years of experience in the sale and delivery of data analytics consulting services; with proven track record as an individual contributor and as a leader of a practice

  • Diverse background that includes working within different business models and markets.

  • Model development experience.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

 

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