At a Glance
- Tasks: Support migration to a new reporting system and assist with SQL queries and data management.
- Company: Leading investment management firm with a focus on innovation and growth.
- Benefits: High annual bonuses, fitness subsidies, childcare vouchers, and private healthcare.
- Other info: Great opportunities for career progression in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the investment management sector.
- Qualifications: Strong SQL skills and experience with performance attribution or risk systems.
The predicted salary is between 45000 - 55000 £ per year.
Job Description
SQL Technical Business Analyst
Our Investment Management client is looking for an SQL Technical Business Analyst to join the Risk & Performance Technologies team on a permanent basis.
This would ideally suit someone with a strong personality with the ability to multi-task, work to tight deadlines and cope well under pressure.
Ideally you will have experience of working on a Performance Attribution or Risk system implementation or upgrade project – systems such as Stat Pro, Fact Set, BISAM, UBS Delta, Aladdin, Barra, Risk Metrics etc.
Our client offers excellent compensation with annual bonuses well above the norm for the Asset Management sector, as well as real chances for progression.
Benefits
- High annual bonus
- Sports club membership subsidy - Fitness First & Virgin Active
- Season ticket loans interest free
- Cycle 2 work scheme
- 25 days holiday increasing after 5 years
- Non-contributory pension scheme 10% basic salary
- Dental plan scheme
- Private healthcare - for employee partner & children
- Childcare voucher scheme
- Critical illness cover
Key Responsibilities
- The SQL Technical Business Analyst would be assisting with the loading of historical data to support the migration to a transactions-based attribution reporting system
- Assisting with the file upload requirements for the new risk system implementation
- The Technical Business Analyst should have familiarisation with all extracts from the data warehouse going to downstream risk and performance systems
- 3rd line platform support of these SQL queries and extracts, optimisation, liaison with the business and Business Analysts to assist with troubleshooting
- Communicating requirements to the Vendor
- Preparation of test packs to reflect the business requirement for more complex 3rd line support solutions and mini-projects
Skills
- Strong SQL analysis and development expertise.
- Performance and attribution vendor systems experience
- Risk vendor systems experience
- Experience with Bloomberg, Qlikview & think Folio would be an advantage.
Technical Knowledge and Experience
- A strong understanding of data and systems architecture in the context of Front Office and Operations
- End to end investment life-cycle knowledge from dealing to downstream reporting
- Knowledge of all asset-classes and the use of Derivatives.
- A good understanding of the full project life cycle.
- SQL Technical Business Analyst
SQL Technical Business Analyst - Investment Management employer: Bowers Partnership
Bowers Partnership is an exceptional employer that prioritises employee growth and well-being, offering a dynamic work culture where innovation thrives. Located in a vibrant area, the company provides competitive compensation, generous bonuses, and a comprehensive benefits package including a non-contributory pension scheme and private healthcare, ensuring that employees feel valued and supported in their professional journey.
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We think you need these skills to ace SQL Technical Business Analyst - Investment Management
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
