Financial Data Warehouse
Financial Data Warehouse

Financial Data Warehouse

Glasgow Full-Time 48000 - 72000 £ / year (est.) No home office possible
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Synechron

At a Glance

  • Tasks: Join us to design and develop server-side components for our Financial Data Warehouse.
  • Company: Synechron is a global consulting firm transforming businesses with innovative digital solutions.
  • Benefits: Enjoy a collaborative culture, remote work options, and opportunities for professional growth.
  • Other info: Diversity and inclusion are at our core; we value unique backgrounds and perspectives.
  • Why this job: Be part of a dynamic team tackling real-world financial challenges with cutting-edge technology.
  • Qualifications: 7+ years in software development with skills in Java, Scala, and cloud technologies required.

The predicted salary is between 48000 - 72000 £ per year.

We have an immediate vacancy for a Financial Data Warehouse with 7 years of experience at Synechron, based in Glasgow.

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.

Diversity, Equity, and Inclusion:

Synechron’s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity. We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron.

About the Department:

Treasury, Planning & Capital Technology - Deliver the technology products used to size and manage the firm's liquidity, unsecured funding and capital resources. This includes intraday liquidity and cash management; calculation, forecasting and stress testing of liquidity and capital measures; resolution planning; budgeting and financial planning including forecasting of revenue, expenses, and balance sheet; accessing unsecured funding markets; and delivering firmwide management reporting and analytics.

Overview of Current Challenges:

  • There is a collection of ad hoc requirements being built without a cohesive strategy.
  • The data ecosystem is fragmented, lacking integration across various components including subledgers, general ledgers, and forecasting.
  • Derivatives trading market values feed into approximately 30 different finance processes, with data sourced from 5 or 6 hubs used across different processes and platforms.

Finance Data Warehouse (FDW) Development:

Around five years ago, the initiative to develop a Finance Data Warehouse (FDW) was launched to create a consolidated entry point into finance. The FDW serves as a distribution point for all downstream processes, allowing for data sourcing, control, adjustment, curation, and distribution.

Data Challenges and Evolution:

  • Loans data has expanded from 5 use cases to 30 use cases, highlighting the need for a solid foundation.
  • The project initially focused on derivatives, which presented substantial challenges due to the complexity of 7 upstream systems and multiple asset classes.
  • The data model evolved significantly from being product-specific to a product-agnostic model that branches into more granular asset-class types.

Current Goals:

  • Accelerate the adoption of data within the FDW, ensuring that the purpose of FDW data is incorporated into downstream processes.
  • Position the FDW as a platform for effort and risk reduction, enhancing controls over finance and helping to manage data-related risks.
  • Address regulatory focus on data governance.

Discussion Points:

  • The majority are end-user computing (EUC) applications and enterprise user applications (EUA), with a total of 12,000 EUCs in use.
  • The FDW acts as a pre-processed finance data platform, facilitating calculation and curation.

Projects and Initiatives:

  • Pat is currently working on an EUC decommissioning program.
  • Preparations for the Comprehensive Capital Analysis and Review (CCAR) audit are underway, focusing on ensuring data lineage and governance controls.
  • The FDW is currently based on a Teradata database but is transitioning to Snowflake.

Skills Required:

  • Java and/or Scala Backends
  • Distributed compute concepts: Spark, Data Bricks, Apache Beam etc
  • Full Stack experience
  • Azure Cloud Technologies
  • Angular/Similar front end
  • Cloud DB / Relational DB: Snowflake / Sybase
  • Unix experience

Job Responsibilities:

  • Designing and developing server-side components that meet the business requirements in an effective and efficient manner.
  • Directly interfacing with business users in understanding the requirement and providing solutions.
  • Assisting & guiding team members in design and development.
  • Partnering along with the leads to identify and mitigate risks and escalate issues as necessary.
  • Ensure code quality and automated testing standards, be a part of regular code reviews and ensure quality gates are upheld and enhanced.
  • Working on the cloud migration efforts to build the next generation platform for Treasury.

7-10 years of work experience in software development. Should have hands-on experience with Java, Scala, Spark, and SQL. Strong knowledge of multi-threading and high-volume server-side development. Experience with Snowflake, PowerBI and Cloud platforms is a plus. Should possess good architectural knowledge and be aware of enterprise application design patterns. Basic working knowledge of Unix/Linux. Exposure to Test and Behaviour Driven Development in agile setup is a huge plus. Exposure to JavaScript framework like Angular is desirable. Excellent communication, team-work and interpersonal skills. Desire to learn the business domain and partner with stakeholders to specify new business features. Strong analytical capability and problem-solving skills. Bachelor of Science in Computer Science or relevant technical degree.

Financial Data Warehouse employer: Synechron

Synechron is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals in the Financial Data Warehouse role. Located in Glasgow, employees benefit from a dynamic work environment that prioritises diversity, equity, and inclusion, alongside ample opportunities for personal and professional growth. With a commitment to cutting-edge technology and a supportive team atmosphere, Synechron empowers its workforce to thrive while contributing to transformative digital solutions for leading financial services clients.
Synechron

Contact Detail:

Synechron Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Financial Data Warehouse

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake, Java, and Scala. Having hands-on experience or even personal projects showcasing these skills can set you apart from other candidates.

✨Tip Number 2

Network with current or former employees of Synechron on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.

✨Tip Number 3

Stay updated on the latest trends in financial data management and cloud technologies. Being able to discuss recent developments or innovations in these areas during your interview will demonstrate your passion and commitment to the field.

✨Tip Number 4

Prepare to discuss how you can contribute to the goals outlined in the job description, particularly around data governance and adoption. Think of examples from your past work where you've successfully implemented similar strategies or improvements.

We think you need these skills to ace Financial Data Warehouse

Java
Scala
Apache Spark
Data Bricks
Apache Beam
Full Stack Development
Azure Cloud Technologies
Angular or Similar Front-End Frameworks
Snowflake
Sybase
Unix/Linux
SQL
Multi-threading
High-volume Server-side Development
PowerBI
Cloud Platforms
Architectural Knowledge
Enterprise Application Design Patterns
Test Driven Development
Behaviour Driven Development
Excellent Communication Skills
Teamwork and Interpersonal Skills
Analytical Capability
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in financial data warehousing, software development, and cloud technologies. Use keywords from the job description to demonstrate that you meet the specific requirements.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role at Synechron. Mention how your skills align with their goals, particularly in enhancing data governance and adoption.

Showcase Relevant Projects: Include specific examples of past projects where you have successfully developed or managed data warehouses, especially those involving cloud technologies like Snowflake or Azure. Highlight any challenges you overcame and the impact of your work.

Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial in the finance sector.

How to prepare for a job interview at Synechron

✨Understand the Financial Data Warehouse

Make sure you have a solid grasp of what a Financial Data Warehouse is and how it functions within the financial services sector. Familiarise yourself with the specific challenges mentioned in the job description, such as data integration and quality issues, to demonstrate your understanding during the interview.

✨Showcase Relevant Technical Skills

Highlight your experience with Java, Scala, Spark, and SQL, as these are crucial for the role. Be prepared to discuss specific projects where you've used these technologies, especially in relation to cloud platforms like Snowflake, as this will show your hands-on expertise.

✨Emphasise Team Collaboration

Since the role involves working closely with business users and team members, be ready to share examples of how you've successfully collaborated in past projects. Discuss your communication skills and how you’ve partnered with stakeholders to deliver effective solutions.

✨Prepare for Problem-Solving Scenarios

Expect to face questions that assess your analytical and problem-solving abilities. Prepare to discuss specific challenges you've encountered in previous roles, particularly those related to data governance and quality, and how you addressed them.

Financial Data Warehouse
Synechron
Location: Glasgow
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