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Manuel Ott Email & Phone Number

VP, Machine Learning Engineer - DBS Bank at DBS Bank
Location: Singapore, Singapore, Singapore 10 work roles 3 schools
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Current company
Role
VP, Machine Learning Engineer - DBS Bank
Location
Singapore, Singapore, Singapore
Company size

Who is Manuel Ott? Overview

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Quick answer

Manuel Ott is listed as VP, Machine Learning Engineer - DBS Bank at DBS Bank, a company with 23499 employees, based in Singapore, Singapore, Singapore. AeroLeads shows a matched LinkedIn profile for Manuel Ott.

Manuel Ott previously worked as VP - Machine Learning Engineer at Dbs Bank and Lead Technology Engineer - Technology & Innovation at Standard Chartered Bank. Manuel Ott holds Master Of Science (M.Sc.), Management And Technology (Tum-Bwl) from Technical University Munich.

Company email context

Email format at DBS Bank

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DBS Bank

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Profile bio

About Manuel Ott

Manuel Ott is a VP, Machine Learning Engineer - DBS Bank at DBS Bank. He possess expertise in finance, consulting, data analytics, artificial neural networks, mechanical engineering and 19 more skills. He is proficient in Latin, Chinese (Simplified) and English.

Listed skills include Finance, Consulting, Data Analytics, Artificial Neural Networks, and 20 others.

Current workplace

Manuel Ott's current company

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DBS Bank
Dbs Bank
VP, Machine Learning Engineer - DBS Bank
singapore, singapore
Website
Employees
23499
AeroLeads page
10 roles

Manuel Ott work experience

A career timeline built from the work history available for this profile.

Vp - Machine Learning Engineer

Current

Singapore

Nov 2022 - Present

Senior Lead - Development Operations & Data Insights

Singapore

Aug 2019 - Aug 2020

Assistant Manager - Business Intelligence & Data Science

Singapore

Jul 2017 - Jul 2019

Credit Risk Management Intern

Singapore

Mercedes-Benz Financial Services Africa & Asia Pacific

Jun 2015 - Dec 2015

Business Analyst Intern

Parknow

Munich

Mar 2015 - Apr 2015

Research Assistant

Munich

Chair in Entrepreneurial Finance, supported by KfW Bankengruppe, Prof. Dr. Dr. Ann-Kristin Achleitner

Nov 2013 - Apr 2014

Consulting Intern - Strategy & Operations

Munich

Aug 2013 - Oct 2013

Consulting Intern - Strategy & Innovation

Steinbeis Consulting Centre Strategy & Innovation

Lindau

Aug 2012 - Dec 2012

Controlling Intern - Information Quality Management

Bonn

Mar 2011 - May 2011
Team & coworkers

Colleagues at DBS Bank

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3 education records

Manuel Ott education

Master Of Science (M.Sc.), Management And Technology (Tum-Bwl)

Activities and Societies: TU Investment Club e.V.Majoring in Finance and Mechanical Engineering Master's thesis: "Early Identification of.

Bachelor Of Science (B.Sc.), Management And Technology (Tum-Bwl)

Activities and Societies: TU Investment Club e.V.Major in Management: Finance & Accounting Major in Engineering and Natural Science.

FAQ

Frequently asked questions about Manuel Ott

Quick answers generated from the profile data available on this page.

What company does Manuel Ott work for?

Manuel Ott works for DBS Bank.

What is Manuel Ott's role at DBS Bank?

Manuel Ott is listed as VP, Machine Learning Engineer - DBS Bank at DBS Bank.

Where is Manuel Ott based?

Manuel Ott is based in Singapore, Singapore, Singapore while working with DBS Bank.

What companies has Manuel Ott worked for?

Manuel Ott has worked for Dbs Bank, Standard Chartered Bank, Wework, Castlery, and Daimler Ag.

Who are Manuel Ott's colleagues at DBS Bank?

Manuel Ott's colleagues at DBS Bank include Benny Koh, Daphne Cheng, Michelle Yeo, Chloe Ann Stewart, and Jinhua Yap.

How can I contact Manuel Ott?

You can use AeroLeads to view verified contact signals for Manuel Ott at DBS Bank, including work email, phone, and LinkedIn data when available.

What schools did Manuel Ott attend?

Manuel Ott holds Master Of Science (M.Sc.), Management And Technology (Tum-Bwl) from Technical University Munich.

What skills is Manuel Ott known for?

Manuel Ott is listed with skills including Finance, Consulting, Data Analytics, Artificial Neural Networks, Mechanical Engineering, Machine Learning, Statistics, and Data Analysis.

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