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Financial Services Big Data Engineer

Job Location: NY - New York

Job Number: 00467891


- Job description

Title: Financial Services Big Data Engineer

Location: NY – New York City

Travel: 50-80%

Join Accenture and help transform leading organizations and communities around the world.  The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.  Choose Accenture, and make delivering innovative work part of your extraordinary career.

Accenture people build careers in four different areas of our business: Consulting, Technology, Outsourcing and internal Corporate Functions. Each area offers a unique career experience and a compelling mix of work and training opportunities, work environment and structure for career progression.

Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertise—strategic, industry, functional, technical—in a diverse project environment that offers multiple opportunities for career growth.

The analytics revolution in Financial Services is changing banking, capital markets and insurance industries. It’s everywhere – transforming how financial institutions achieve their strategic and day to day goals. Are you leading the way as a digital disrupter?

Accenture Analytics is driving exciting changes across the landscape and bringing next generation analytics capabilities to fruition across industries in North America. Join us and become an integral part of our experienced analytics team with the credibility, expertise and insight clients depend on.  


Job Description 


Do you have a strong desire to use technology and analytics to fundamentally change the way business is done?  Do you want to help provide leading edge solutions for some of the most successful companies around?


In the right hands (yours!) and, handled strategically, the massive amounts of information our clients collect today can become their most valuable new asset. Our professionals provide a set of tools and techniques that help in managing uncertainty by building next generation analytics platforms, preparing and engineering data sets and analyzing data. By leveraging big data technologies and quantitative methods to derive actionable insights and outcomes from data, analytics professionals help firms to proactively drive their business outcomes.


Your Role


As a Financial Risk Analytics professional, you will support financial services firms from around the world in achieving their advanced platform, data and analytics goals. We have a breadth of analytics experience, global resources, best-in-class analytical tools and frameworks, superior assets and deep knowledge to help our clients become high-performing Financial Services businesses.

Our Finance & Risk Center of Excellence in NYC provides a unique environment where we bring together a unique combination of platform and data engineering capabilities along with our risk analytics capabilities to enable innovative solutions to be delivered in an agile delivery environment.  Our team members all provide some combination of these skills and the ideal candidates show a strong desire to develop skills across the board.


The ideal candidate has a combination of functional, data engineering and platform experiences.  Candidates are not required to have deep experience in all three areas.


Functional knowledge and Experience

  • Minimum of 2 years of functional design, data engineering, and/or platform engineering experience within the Financial Services industry (Retail Bank, Commercial Bank, Investment Bank, Insurance) or for a rating agency.
  • Minimum of 1 year of risk analytics, functional design, data engineering, and/or platform engineering experience, liquidity risk management, market risk management, stress testing, counterparty risk, VaR and exposure modeling, valuation of financial instruments/ portfolios, limit setting and watch list/exposure usage monitoring, AND/OR functional design and database modeling for risk management systems and applications.
  • Alternatively, 1 year of data management experience supporting risk analytics capabilities at a Financial Services institution especially in functionally designing solutions and analysis for metadata management, lineage and governance.

Platform Engineering Knowledge and Experience

  • Experience architecting and/or developing in Big Data (e.g. Hadoop) analytics environments for production deployments
  • Familiarity and experience in developing and implementing analytics frameworks in Python, Scala and/or Spark.
  • Minimum of 1 year designing and building large scale data loading, manipulation, processing, analysis, blending and exploration solutions using emerging technologies such as Hadoop Ecosystem (MapReduce, Hive, HBase, Spark, Sqoop, Flume, Pig, Kafka etc.), NoSQL(e.g. Cassandra, MongoDB), and In-Memory Data Technologies

Data Engineering Knowledge and Experience

  • Minimum of 1 year of experience in preparing and refining data sets and derived data in various emerging (Talend, Python, Scala and/or Spark) and traditional tools (Informatica, Ab Initio, SQL)
  • And/or minimum of 1 year of experience in optimizing data pipelines and derived/analytical workloads for distributed computing, storage and processor/network I/O.
  • Bachelor's Degree in one or more of the following quantitative disciplines: Computer Science, Mathematics, Statistics, Economics, Computing, Quantitative Finance or other Quantitative, Numerical or Computing discipline
  • Minimum 1 year of experience managing cross-functional teams, including proficiency in project management, resource management, and deliverable presentation/reviews


Preferred Qualifications


Advanced Degree in one or more of the following quantitative disciplines: Computer Science, Mathematics, Statistics, Economics, Computing, Quantitative Finance or other Quantitative, Numerical or Computing discipline

Deep functional knowledge

  • Strong understanding of financial instruments/ products or insurance products, consistent with industry experience; for example, individuals with Commercial Banking experience should have a thorough knowledge of commercial lending, asset based lending, treasury services and investment banking
  • Expert understanding of new/ evolving regulations in the Risk management space including treatment of off-balance sheet exposures, proprietary trading, systemic risk, stress testing, capital calculations, reporting standards, etc.
  • Strong understanding of risk regulatory framework of one more of the major economies across globe (i.e. US, UK, EU, etc.).
  • Strong Understanding of Front and Back Office operations a plus

Deep technical knowledge

  • Deep understanding of the data and platform tools and frameworks for data science and data engineering in parallel computing environments.
  • Experience with industry tools and frameworks popular in the data management environments at Financial Services firms such as Colibra, FICO, SAS, Informatica, Ab Initio, etc.
  • Experience in extracting, aggregating and structuring large data sets along different dimensions (e.g.: position/ instrument/ counterparty level)
  • Managing and Modeling data in various storage architecture in Hadoop and NoSQL data stores (e.g. parquet)
  • Able to thrive in a fast-paced, high energy, demanding and team-oriented environment
  • Proven ability to build, manage and foster a team-oriented environment.
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Excellent communication (written and oral) and interpersonal skills

 All of our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

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