Financial Data Warehouse
Financial Data Warehouse

Financial Data Warehouse

Milton Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to design and develop server-side components for financial data solutions.
  • Company: Synechron is a global consulting firm transforming businesses with innovative digital solutions.
  • Benefits: Enjoy a diverse workplace, remote work options, and opportunities for personal growth.
  • Why this job: Be part of a cutting-edge team tackling real-world financial challenges with advanced technology.
  • Qualifications: 7+ years in software development, expertise in Java, Scala, and cloud technologies required.
  • Other info: Work in a collaborative environment focused on innovation and continuous learning.

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.
  • The quality of data remains a critical issue, with poor data quality leading to economic impacts for the firm.

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.
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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 warehousing 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 would approach the challenges outlined in the job description, such as improving data quality and encouraging adoption of the Finance Data Warehouse. Having a strategic mindset will show that you are ready to contribute to the team from day one.

We think you need these skills to ace Financial Data Warehouse

Java
Scala
Spark
SQL
Snowflake
PowerBI
Cloud Technologies
Full Stack Development
Distributed Computing Concepts
Data Bricks
Apache Beam
Multi-threading
High-volume Server-side Development
Unix/Linux
Test Driven Development
Behaviour Driven Development
Angular or Similar Front-end Framework
Analytical Skills
Problem-Solving Skills
Excellent Communication Skills
Teamwork and Interpersonal Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in financial data warehousing, software development, and the specific technologies mentioned in the job description, such as Java, Scala, and Snowflake. Use keywords from the job listing to ensure your application stands out.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Synechron and explain how your background aligns with their goals, particularly in relation to data governance and cloud migration. Share specific examples of past projects that demonstrate your skills and problem-solving abilities.

Showcase Relevant Projects: If you have worked on projects involving data warehouses or cloud technologies, be sure to include these in your application. Describe your role, the technologies used, and the outcomes achieved. This will help illustrate your hands-on experience and technical expertise.

Highlight Soft Skills: Synechron values teamwork and communication, so make sure to highlight your interpersonal skills in your application. Provide examples of how you've successfully collaborated with others or communicated complex ideas to non-technical stakeholders in previous roles.

How to prepare for a job interview at Synechron

✨Understand the Financial Data Warehouse Concept

Make sure you have a solid grasp of what a Financial Data Warehouse is and how it functions within a financial institution. Be prepared to discuss its importance in data integration, governance, and analytics, especially in relation to the challenges mentioned in the job description.

✨Showcase Your Technical Skills

Highlight your experience with Java, Scala, Spark, and SQL during the interview. Be ready to provide examples of past projects where you utilised these technologies, particularly in high-volume server-side development or cloud migration efforts.

✨Demonstrate Problem-Solving Abilities

Prepare to discuss specific challenges you've faced in previous roles, particularly those related to data quality and integration. Use the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your analytical skills.

✨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 a team environment. Highlight your communication skills and your ability to guide others in design and development.

Financial Data Warehouse
Synechron
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