Data Operations Analyst

  • Full-time

Company Description

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market.

Curinos operates under a hybrid modality. This individual may work from the New York City, Boston, or Chicago offices.

Job Description

The Data Operations team handles the day-to-day processes of the entire suite of Curinos data products.  The team collects data using various formats and methods, ingests the data, quality checks the data, and prepares the data for client consumption.  Clients use the data to deliver the right product for the right price to the right customer at the right time via the right channel. 

We are seeking a Data Analyst for our Retail Lending Data Team. The ideal candidate is motivated and thrives in a fast-paced, dynamic, and collaborative environment. They will bring a blend of analytical thinking and creativity to the team, ultimately playing a substantial role in our team’s execution and operations. They will:

  • Have strong hands-on analytics experience, drive, and curiosity
  • Communicate directly with clients (verbal & written) to understand and process their pricing model and data
  • Configure client’s data in Curinos proprietary system
  • Thoroughly document configuration for each client’s data
  • Collaborate with team members to maintain overall accuracy and timeliness of client report deliverables
  • Assist team members in other departments as needed to fulfill company goals

Qualifications

  • Bachelor’s degree
  • 2+ years of professional work experience in an analytical and data-driven environment, financial and lending experience is a plus
  • Proficiency in MS Excel (e.g. formula writing, pivot tables, comparison tools, etc.)
  • Proficiency in relational databases (e.g. SQL)
  • Excellent written and oral communication skills with an ability to explain data trends and patterns to internal and external stakeholders
  • Ability to work both independently and own the problem and solution from start to finish

Compensation: This position offers an annual base salary of $65,000 - $75,000

Additional Information

  • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from  
  • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!  
  • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday! 
  • Learning and development tools to assist with your career development  
  • Work with industry leading Subject Matter Experts and specialist products  
  • Regular social events and networking opportunities  
  • Collaborative, supportive culture, including an active DE&I program  
  • Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services  

Applying:  

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!   

If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at [email protected] and we’ll do everything we can to help.  

Inclusivity at Curinos:   

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed.  As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, colour, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics. 

Privacy Policy