637 jobs for "Data Risk Manager"

Human Resource Business Partner Senior--Customer Care Center

At PNC Financial Services Group - Pittsburgh

Posted on Nov 4

View job Apply on company site

Senior Manager, Relationship Management, Pension Risk Transfer

At TD Bank - Toronto

Posted on Oct 22

View job Apply on company site

Senior Manager Enterprise SaaS Sales - Capital One Software (Remote)

At Capital One - Remote / Flexible

Posted on Oct 31

View job Apply on company site

Machine Learning Engineering Manager

At Apple

Posted on Oct 15

View job Apply on company site

Manager, International Client Services

At Capital One - Riverwoods · McLean

Posted on Oct 31

View job Apply on company site

Human Resource Business Partner Senior--Customer Care Center

At PNC Financial Services Group - Pittsburgh

Posted on Nov 4

View job Apply on company site

Machine Learning Engineer Manager -

At Apple

Posted on Oct 14

View job Apply on company site

Senior Manager, Pricing, Pension Risk Transfer

At TD Bank - Toronto

Posted on Oct 20

View job Apply on company site

Senior Manager, Cards Anti-Money Laundering (AML) Advisory

At Capital One - McLean · Plano

Posted on Oct 31

View job Apply on company site

AML Data Quality and Quantitative Analytics and Model Development Analyst Senior

At PNC Financial Services Group - Pittsburgh

Posted on Nov 2

View job Apply on company site

Senior Group Manager, Audit - Applications, Technology and Data (ATH 1184)

At TD Bank - Toronto

Posted on Oct 20

View job Apply on company site

Privacy Compliance Analyst

At Apple - Austin

Posted on Oct 12

View job Apply on company site

HSE Project Specialist - Powergen Europe

At Cummins - Krakow

Posted on Sep 8

View job Apply on company site

Configuration Manager

At Leidos - Washington

Posted on Sep 16

View job Apply on company site

Manager, Email Operations and Execution

At Prudential Financial - Newark

Posted on Sep 17

View job Apply on company site

Commercial Manager (Japan)

At Equinix - Remote / Flexible

Posted on Sep 2

View job Apply on company site

Machine Learning Engineering Manager, Credit & Underwriting

At Adyen - San Francisco

Posted on Oct 6

View job Apply on company site

Manager, Partner Success - Security Solutions

At Mastercard

Posted on Oct 1

View job Apply on company site

Sr. PM, EHS & Security - Systems and Data

At Chewy - Goodyear

Posted on Sep 2

View job Apply on company site

HSE Project Specialist - Europe Powergen

At Cummins - Chassieu

Posted on Sep 8

View job Apply on company site

Apple

Machine Learning Engineer Manager -

SingaporePosted 26 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Apple's Strategic Data Solutions (SDS) team is looking for a talented manager who is passionate about leading a team of data scientists that craft, implement, and operate analytical solutions with direct and measurable impact to Apple and its customers.

You will build and lead a team of SDS machine learning engineers, who employ machine learning, statistical analysis techniques, and system design to build end-to-end solutions for Apple's fulfilment and financial programs. You will engage with a large and talented cross-functional team as we work to build out our solutions, projects and programs.

Apple's dedication to customer privacy, the adversarial nature of trader and risk, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, you will push the limits of integrating existing data science methods with engineering and business process to deliver tangible business value!

This position is based in Singapore.

Description
Lead and mentor a team of software developers and machine learning engineers
Design and maintain real-time automated decisioning systems and operations for fulfilment and financial products.
Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions.
Engage with business partners and understand their unique requirements and design them technical solutions
Review the teams production code and logic for highly integrated system.
Distill and clearly communicate complex technical topics for both business and engineering stakeholders
Analyze data and tell meaningful stories to assist business partners.
Collaborate with and support the team to innovate, encouraging experimentation and growth.

Preferred Qualifications
Experience in the following a plus: operations, fulfilment, supply chain, trader, payments, financial risk

Minimum Qualifications
Graduate degree in a quantitative field or equivalent professional experience.
Experience leading a team of machine learning engineers and software engineers.
Practical experience training, deploying, and maintaining decisioning algorithms.
Familiarity with distributed databases, data warehousing, and SQL.
Ability to implement custom real-time or batch machine learning applications with their appropriate data pipelines.
Ability to comprehend and debug complex system integrations spanning toolchains and teams.
Ability to extract meaningful business insights from data and identify the stories behind the patterns.
Ability to think at a systems level to anticipate technical, business, and customer impact.
Clear communication and presentation skills.
Unwavering ability to maintain poise and a positive attitude in a challenging and dynamic environment.
Strong organizational skills with an ability to oversee and drive multiple activities at once.
Excellent problem solving skills, business acumen, and solution design mentality.
Experience writing, reviewing, and deploying production software.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile