What To Expect

The DAP is an excellent platform and opportunity for Fintechs looking to build solutions for and work with the investment management industry in the region.

Our approach

To achieve its end goals, the DAP will adopt the following approach:

I

1

Launch

Applications open on 27 February 2019 and close on 8 April 2019

 

 

 

 

 

 

 

 

2

Shortlisting

Shortlisting starts from 11 April 2019

Shortlisted Fintechs will be notified week commencing 22nd of April

Fintechs will also be matched to our  mentors for the accelerator program

Virtual professional mentorship will be provided leading up to the event

3

Showcase

Finalists will meet their mentors and showcase their solution at IMAS-Bloomberg Investment Conference 2019 on 9 May 2019

An esteemed judging panel will select up to three winners

The winning teams will receive up to SGD 50,000

4

Accelerate

All finalists will commence a four week Acceleration program with their mentor in May after the conference

 

 

 

  

 

5

Commercialise

Finalist Fintechs may be offered mentorship and IMAS Associate Fintech membership plus the opportunity to be invited to subsequent IMAS conferences as well as the Singapore Fintech Festival.

Mentors can indicate interest to move into incubation.

 

I

1

Launch

Applications open on 27 February 2019 and close on 8 April 2019

2

Shortlisting

Shortlisting starts from 11 April 2019

Shortlisted Fintechs will be notified week commencing 22nd of April

Fintechs will also be matched to our  mentors for the accelerator program

Virtual professional mentorship will be provided leading up to the event

3

Showcase

Finalists will meet their corporate mentors and showcase their solution at IMAS-Bloomberg Investment  Conference 2019 on 9 May 2019

An esteemed judging panel will select up to three winners

The winning teams will receive up to SGD 50,000

4

Accelerate

All finalists will commence a four week Acceleration program with their mentor in May after the conference

5

Commercialise

 

Finalist Fintechs may be offered mentorship and IMAS Associate Fintech membership plus the opportunity to be invited to subsequent IMAS conferences as well as the Singapore Fintech Festival.

Mentors can indicate interest to move into incubation.

Outcomes of the DAP

The DAP is positioned to be a launch pad for technological innovations that supports the investment management industry and solve relevant problems.

In the longer term, common technological utilities may be developed and shared across the industry.

The DAP will be the inaugural Investment Management Association-led effort in the region. Through this first mover advantage, we aim to build and attract the right Fintech expertise to Singapore.

Problem statements

Regulatory

Problem Statement

How might we use technology in a cost competitive manner so that we can better predict, monitor and manage an Asset Management Company’s internal and external obligations to regulatory changes globally?

How might we obtain real-time, customizable updates and analysis on new and revised compliance, regulatory and tax requirements globally?

Risk & Performance

Problem Statement #1

How could we use technology to monitor, predict and understand drivers of risk and performance so that we can proactively manage in a rapidly changing market?

Context

Evolving investment strategies such as ETFs / ESG factor / Smart Factor are demanding greater data points, analysis and reporting options. As an example, two areas requiring greater analysis are a) the disappearance of the index effect in large & mid cap stocks and b) liquidity repercussions for stocks more closely held and over a long-term horizon by ESG investors

Terms

ETF: Exchange Traded Fund ESG: Environmental, Social and Governance Smart Factor Strategies

Problem Statement #2

How might we leverage evolved data models, analytics and reporting methodologies to deliver ETF / ESG / Smart Factor strategies?

Context

Evolving investment strategies such as ETFs / ESG factor / Smart Factor are demanding greater data points, analysis and reporting options. As an example, two areas requiring greater analysis are a) the disappearance of the index effect in large & mid cap stocks and b) liquidity repercussions for stocks more closely held and over a long-term horizon by ESG investors

Terms

ETF: Exchange Traded Fund ESG: Environmental, Social and Governance Smart Factor Strategies

Problem Statement #3

How could we leverage technology to integrate various exposures to solve operational issues (such as handling multiple platforms) and measure counterparty risk accurately?

Context

Currently, collateral management arising from OTC derivatives tend to sit on multiple platforms. OTC: Over-the-counter (OTC) derivatives are contracts that are traded (and privately negotiated) directly between two parties, without going through an exchange or other intermediary

Investment/Data

Problem Statement #1

How might we use collect and capture data electronically and use it as a proxy for economic growth such as sales, inflation and shipping activity?

How could we leverage data from satellite analysis to provide a measure of economic activity (with a focus on emerging countries and Asia) and actionable insights?

How could alternative data (e.g. credit card transactions, hotel/airline billing, digital identity) be used to measure sector performance (e.g. tourism, retail spending)?

Context

Official economic data statistics (especially in emerging countries) may be of poor quality and published late. We use this information in relation to investment decisions.

Problem Statement #2

How might we:

a) better source, collect and store data

b) validate data sources faster and smarter

c) aggregate data from different repositories of publicly available information & government agencies (e.g. supply economic and statistical data from emerging markets).

Context

The current practice of information / data gathering is not comprehensive-, smart or intelligent-, or cheap and accessible-enough, which could be due to data owners’ practices.

Problem Statement #3

How could Investment Managers apply AI and Machine Learning to optimize models and to use data to enhance investment decisions and returns?

Context

Rule-based algorithms may be too simplistic, error prone and cannot learn and adapt to market changes.

Cybersecurity

Problem Statement

Given the widespread usage of masking and hacking tools, how might we detect, identify and predict cybercrime (financial or non-financial)?

Customer

Problem Statement #1

How could we use technology to optimise the Client Experience and become more effective (e.g. AML processes during client onboarding, refreshers, annual reviews, cross sell and upsell)?

Problem Statement #2

How might we use technology, alternative sources of data and analytics to understand end investors better so that we could design solutions to that will be more suitable and attractive to them?

Context

Investment managers do not have access to end investors directly and associated data and thus have to react to intermediaries’ demand for product or insights which are rarely shared

Problem Statement #3

How might we use technology to distribute our products directly to underserved / unserved end investors and ultimately grow the pool of ready investors across Singapore?

Problem Statement #4

How could we leverage technology to create a cost-effective solution for mass customised client reporting and insights?

Context

There are many different types of reports required by clients across different touch points and relationship models. Reports are often heavily customised & manual and they are specific to the client type (Institutional, Intermediary or even end investors)

Cost & Efficiency

Problem Statement

How could we use technology to automate, digitize in-house processes to reduce costs, simplify practices and transform experiences for both clients and employees?

Context

Investment managers interact with a number of service providers to execute an order.

Education & Learning

Problem Statement

How might we provide an engaging and user-friendly education experience for the Asset Management industry, and drive self-learning to create a workforce of the future?

Ready to be a part of this exciting journey to fast-track digital solutions and solve real world business problems? Register for the Digital Accelerator Programme now!

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