Data Analyst, Technical Success at CurinosNew York, New York, United States — full-time

Company Description

Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth.

Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This is a hybrid position, with the ideal candidate located in the New York City metropolitan area.

Job Description

Responsibilities :

Implementing and supporting one or more of Curinos’ software solutions

Becoming the SME on our clients’ data and platform configuration, including:

Configuring and customizing our solutions to client-specific data, strategies, and business needs

Mining, cleaning, and analyzing large data sets for trends or insights relevant to Curinos Solutions clients’ analysis

Deriving and communicating actionable conclusions from complex data

Gathering, mapping, and validating data to power our analytical platforms

Calibrating and updating models used in solutions to enhance accuracy and impact

Conducting statistical analysis to evaluate model performance

Building out processes and procedures to more efficiently support configuration activities across our growing client base

Advising on and participating in the use of client data to support other initiatives at the firm

Completing other tasks and projects, as requested

Qualifications

Desired Skills & Expertise :

Bachelor’s degree from a top tier university, preferably in business, science, math, or computer science

0-3 years of experience, preferably in computer programming, consulting or financial services

0-3 years of experience working in SQL or with relational databases

Strong problem-solving abilities, especially when it comes to investigating and resolving data anomalies

Well-developed organizational skills to facilitate handling multiple concurrent workstreams; attention to detail

Exceptional analytical capabilities including the ability to develop and interpret complex analytics

Strong writt