Careers at FXcompared

Responsibilities

• Manage the Data Collection Team to ensure efficient and timely delivery of data projects, support of existing solutions, delivery of reporting requirements. Ensure clear roles and responsibilities within the team and ensure the team is appropriately resourced
• Acts as the primary point of contact for all data collection activities and ensure consistent customer communication and satisfaction regarding services (for both internal and external customers)
• Directly manage the day-to-day service and support matters and issues with a high level of response, resolution, and communication, directing the data team as necessary to deliver resolutions
• Ensure effective communication and coordination with all customers, internal and external, in order to keep them informed of all achievements, changes and issues that are taking place with any of the data collected
• Define, implement and enforce processes and procedures for the efficient, scalable and satisfactory data collection operations that adhere to customer SLAs and internal OLAs.
• Continuously evaluate & build skill set of the team to ensure objectives and levels are met
• Monitor data operations performance against goals and milestones to balance service and customer expectations
• Provide regular status updates and escalate service challenges
• Drive improved efficiency, automation and quality in data collection. Map, Document and Rationalize data collection processes
• Collaborate with cross-functional teams including Product, Engineering, Research and leadership, building an understanding of customer, user and business requirements

Requirements

• University Degree Computer Science, Management of Information Systems or equivalent
• 5+ years of experience in functional and/or technical data operations experience
• Previous management experience of managing a data collection team
• Experience in managing teams in a global environment
• Proven track record in software and data integration projects
• Hands on experience and knowledge of data collection and integration:
  • Experience of working with multiple data collection methods
  • Experience in automating data collection
  • Experience in design, data collection, and/or analysis survey data
  • Experience in market research implementation- particularly related to online methods
  • Experience in automated collection from websites
• Experience in:
  • Data Warehousing
  • Business Intelligence
  • Data architecture & design
  • Reporting and analytics platforms
  • ETL
• Understanding of software development languages / concepts and how they are relevant to automation of data collection: JavaScript, Html, SQL, python and APIs
• Excellent communication and interpersonal skills, and ability to work effectively with all organizational levels, both internally and externally
• Demonstrated ability to maintain a customer-service focus and attitude at all times
• Capable of working individually and as part of a team, and ability to take the lead on projects and challenges when requested or as appropriate

Nice to have

• An exceptional leader, people manager and customer advocate with a passion for data operations
• A charismatic and credible communicator who leads by example
• Highly responsible, self-motivated, and able to thrive in an energetic, fast pace, high growth, entrepreneurial environment
• Strong team player who can build strong relationships at all levels of the organization
• A consultative approach coupled with the knowledge of how to provide product data to a customer
• Have excellent communication skills - written, verbal, presentation and interpersonal
• An proactive leader who can maximize the resources of a start-up environment

Role description

FXcompared Intelligence is looking for an experienced Market Research Manager for their London office.

The ideal candidate

• Have an excellent track-record in primary and secondary research including qualitative and quantitative methods;
• Be articulate and precise, and able to deliver high quality research outputs;
• Be confident and persuasive, and able to work with stakeholders at all levels;
• Have project management experience;

Key responsibilities

• Researching and reporting on the international payments industry. Also, presenting these reports and findings to stakeholders at all levels both internally and externally.
• Monitoring and analysing the international payments market more widely, reporting on trends, regulatory framework and policy to help inform decisions taken by the business unit.
• Guiding clients through our research models and helping to structure new programmes in such a way to support successful delivery at scale.
• Undertaking ad hoc research projects as required by the business unit.

Qualifications

Experience, skills & competencies

• Degree with a significant research component
• Relevant research and analysis experience from within a market research setting, or policy research/agency/business analysis context, with a track record in the delivery of research reports, presentations, and other projects
• Experience of working with multiple research methods
• Experience in design, data collection, and/or analysis survey data
• Experience in survey implementation (particularly related to CAPI, online survey methods and in coordinator roles for surveys)
• Experience in automated collection from websites
• Highly proficient in using Microsoft Office tools as well as other analytic and business intelligence software packages
• Experience of working with senior external customers/contacts
• Ability to work in marketing and customer pre-sales situations
• Experience in conducting data analyses that establish and document a business case
• Excellent planning, time management and project management skills
• Excellent written and verbal communication skills with the ability to communicate complex information clearly and succinctly

Role description

This role will have two primary functions: first, conducting desk research into trends and companies within the financial services space to populate our online data portal; second, helping produce FXC Intelligence’s weekly newsletter and other custom research reports. This role has significant room for growth and expansion as all content and research work is currently being split between other employees.

FXC Intelligence is a growing startup in the FinTech space - we will provide plenty of training and support but once up to speed you will be encouraged to make this role your own!

Requirements

• Ability to synthesize disparate data into concise written reports
• Familiar with both qualitative and quantitative data
• Demonstrated analytical ability
• Ability to produce work within tight deadlines
• Excellent English

Responsibilities

• Producing written intelligence reports about trends within the payments and financial services industry
• Helping write, source content for, and edit a weekly newsletter
• Supporting our data science and product team with ad hoc desk research
• Generating new ideas for content and marketing

Nice to have

• Data journalism, financial / equity research, or other quantitative research experience
• Experience with data manipulation using Python, Matlab, Stata, etc.
• Experience working in payments, finance or FinTech

What we offer

• Competitive salary & incentive schemes
• Fantastic benefits package
• Regular team outings and events
• Relaxed dress code
• Tailored personal development program
• Use of a Mac laptop

If you are interested in this opportunity, please get in touch.

Specific Responsibilities

This job requires these main skill sets:

• Project Management
• Data Architecture
• ETL & SQL Development
• Data Quality and Availability

• Project Management
  • Work with all stakeholders to evaluate project scope and costs and define and manage tasks and schedules. Manage risks and issues on all data projects. Report overall status twice a week to the Senior Management Team.
• Data Architecture
• Extend our existing data warehouse and downstream systems to accommodate new types of data and changes in requirements. This involves data modelling and data propagation strategies and working with our DBAs to optimize system resources and keep our costs down.
• Data & ETL Development
• Write or maintain ETL pipelines on our PaaS platform and SQL scripts and mentor other developers.
• Data Quality and Availability
• Own the the data in all of our Productions systems and ensure that it is accurate and available per customer commitments.
• Improve existing monitoring tools and methods.
• Define and rollout efficient work flow processes.
• Conduct or manage data quality issue root cause analysis.
• Be a subject matter expert on the international money transfer industry and its data.
• Ensure that everyone is following appropriate change control, configuration management, and data management procedures
• Troubleshoot data-related problems and authorize maintenance or modifications

Required skills and experience

• BSc/BA in computer science or a relevant field or equivalent work experience
• 5 years’ experience in data management
• 2 – 3 years’ experience managing one or more teams of offshore resources
• Proficient in SQL, Excel and desktop data analytics tools.
• Strong analytical, problem solving, and relationship skills
• Expertise in data architecture and modelling
• Exceptional organizational skills and extreme attention to detail
• Ability to meet critical deadlines and manage multiple projects simultaneously
• Familiarity with modern database and information system technologies
• Hands-on experience working with data management strategies as well as with metadata, data quality, data change management, data profiling and ETL.
• Comfortable working with and reporting from issue tracking systems. (We use Redmine.)
• Previous startup experience
• Extreme comfort and facility with managing ambiguity
• Ability to negotiate competing requirements
• Proven collaboration/relationship skills
• Strong written and verbal communication skills
• Demonstrated ability to promote and drive change to further improve processes
• Self-motivated and proactive

Nice to have

• Prior experience with data profiling tools, data quality tools and BI / data visualization software
• Python, Java or other coding experience
• Prior experience in Financial Services
• Data science expertise
• Data Science skills; knowledge of statistical software packages (SAS, R, SPSS)

Role description

You will be working on the Research Team and the broader business’s data pipeline. You will for instance be asked to source data and investigate a data sources such as a Websites, flat files, or APIs. You will learn as much as you can about business requirements and needs and then explore and profile the data using SQL, Excel, Python or whatever other tools fit the job. You will have responsibility for productionalizing datasets for modelling, visualization and analysis using an off the shelf enterprise ETL tool and, if necessary, Python and SQL. Don’t worry if you have never used an enterprise ETL tool. We can train you. We need someone who is bright, articulate, who understands how to transform data and who is super eager to learn and work with data. You will need to be able to communicate complex material in layman’s terms and educate people.

The person in this job has a lot of different long term career paths in our company since we are small and everything we do depends on data. This is a highly visible, central, and critical role. Every day, you will be interacting with and learning from excellent project managers, business analysts, data scientists, software developers and qa engineers in a friendly, collegial environment.

Responsibilities

• Collaborate with our Data Scientists, Product Owners, and Software Engineers to identify, collect and transform data for research and analysis including statistical modeling.
• Identify and diagnose data inconsistencies and errors.

Necessary skills and experience

• Bachelor's degree in Computer Science, Statistics, Economics, or equivalent quantitative field.
• Python, SQL, noSQL and Microsoft Excel.
• Experience manipulating and joining data in multiple different formats (for example, csv, json, xml, text).
• Experience integrating external APIs for data acquisition.
• Experience to data exploration, profiling, quality control, transformation, and visualization.

Nice to have technical skills

• Comfort with utilizing team collaboration software (issue tracking, project management, document sharing, etc.)
• Experience in feature engineering.
• Experience designing efficient and robust ETL/ELT workflows, schedulers, and event-based triggers
• R, SAS, Matlab or other statistical software packages
• Familiarity with the key concepts of Data Science including machine learning
• Knowledge of supervised and unsupervised classification techniques
• Ability to design rich data visualizations to communicate complex ideas to customers or company leaders
• Experience with AWS

Soft skills

• Outstanding client and internally-facing verbal and written communication, leadership, and negotiating skills
• Able to communicate complex concepts to all different types of audiences
• Assertiveness and resilience
• Self-motivation and eagerness to learn
• An honest, ego-less approach that inspires collaboration
• Solid organizational skills including attention to detail and multitasking skills
• Creative and nimble with ability to overcome obstacles to solve the hardest problems
• Flexible and responsive with ability to adapt to rapid change in direction or business priority