Evalueserve is a global professional services provider, offering research, analytics, and data management services. We’re powered by mind+machine – a unique combination of human expertise and the best-in-class technologies that use smart algorithms to simplify key tasks. This approach enables us to design and manage processes that can generate and harness insights on a large scale, significantly cutting costs and timescales and helping businesses that partner with us to overtake the competition.
We work with clients across a wide range of industries and business functions, helping them to make better decisions faster, reach new levels of efficiency and effectiveness, and see a tangible impact on their top and bottom lines.
Role Overview
You will be assisting the Quantitative Investment Solutions (QIS) Research team of a Global Investment Bank based out of the Bank’s office in London to support a generation of investment products for internal and external clients of the Bank.
Your role will be focused on helping the QIS Research team leverage technology to improve their investment product pipeline. This will include design and build a state of the art ETL, back testing, and simulation services, API maintenance and extension as well as working with Quantitative Researchers to write efficient quantitative code leveraging your understanding of the Python scientific stack.
This role will provide exposure to building systematic trading strategies across all asset classes so an interest in quantitative investment is essential.
Key Responsibilities (include but are not limited to):
- Ability to design, build and implement/review scripting solutions for automation
- Deployment of codes into production environments in a safe controlled manner
- Work with technology teams to standardise build and deploy processes
- Build tools required to maintain and monitor systems
- Develop an understanding the financial data sources and processes
- Automate/ streamline processes as per business specifications of QIS research analysts
- Work on APIs (high-level) to retrieve data from databases and to enable access using Matlab / R
- Integrate databases from related businesses
- Resolve database issues
Basic Qualifications
- Bachelor's degree in Computer Science or related field
- 2-4 or more years of experience with object oriented programming particularly Python scientific stack including ScyPy, NumPy, Pandas, etc.
- Working knowledge of SQL
- Experience of full software development life-cycle and agile methodologies
- Hands-on experience in writing and reviewing business requirements, architecture documents, test plans, design and maintaining documents, quality analysis and helping with the software release process.
- Develop database objects and structures for data storage, retrieval and reporting according to project specifications
- Proven ability to learn new concepts and work with multiple teams
Preferred Qualifications
- Experience working with Quantitative Research team, Trading desks or Structuring desks at banks
- Experience of working with financial databases
- Process design and re-engineering experience
Professional Competencies:
- Excellent written, verbal and interpersonal communication
- Excellent problem-solving skills
- Highly motivated, independent and organized; excellent attention to detail
- Strong team player
Compensation & Benefits:
- Competitive compensation package
- Company pension scheme
- Access to company private medical and dental plan
The above job description is a guide to the work you may be required to undertake but does not form part of your contract of employment and may change from time to time to reflect changing circumstances.
Evalueserve is committed to providing equal employment opportunities (EEO) globally, eliminating discrimination, and promoting good relations among employees, regardless of age, disability, ethnicity or origin, sex, gender assignment, gender identity, religion or belief, sexual orientation, and marital or civil partnership status. Evalueserve is an inclusive employer and is proud of its diverse workforce.
