Zeer Mandiri Sekuritas / intent / mandiri-sekuritas

Mandiri Sekuritas

201-500 employees·Jakarta, Jakarta Raya, Indonesia·mandirisekuritas.co.id

Observed, not inferred · updated weekly

Buying intent

16 tracked signals | Top 14 topics are below | Engineering is carrying most of it.

16signals · 30 days
14topics tracked
12.5%attributed to a team

Attention by team

LinkedIn activity, by team

Where Mandiri Sekuritas's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Emerging Markets
Artificial Intelligence
Bond Yield
Month-on-Month [MoM]
Error Handling
Year to Date
Engineering
Engineering to Emerging Markets: no signal
Medium100% of team Engineering to Artificial Intelligence: Medium, 100% of this team's signals
Engineering to Bond Yield: no signal
Engineering to Month-on-Month [MoM]: no signal
Engineering to Error Handling: no signal
Engineering to Year to Date: no signal
Others
High29% of team Others to Emerging Markets: High, 29% of this team's signals
Medium14% of team Others to Artificial Intelligence: Medium, 14% of this team's signals
Medium14% of team Others to Bond Yield: Medium, 14% of this team's signals
Medium14% of team Others to Month-on-Month [MoM]: Medium, 14% of this team's signals
Medium14% of team Others to Error Handling: Medium, 14% of this team's signals
Medium14% of team Others to Year to Date: Medium, 14% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Emerging Markets
LinkedIn
High volume
97%
last
16d ago
Artificial Intelligence
LinkedIn
High volume
96%
last
9d ago
Bond Yield
LinkedIn
Medium volume
98%
last
25d ago
Month-on-Month [MoM]
LinkedIn
Medium volume
98%
last
25d ago
Error Handling
LinkedIn
Medium volume
98%
last
30d ago
Year to Date
LinkedIn
Medium volume
98%
last
25d ago
Construction
LinkedIn
Medium volume
98%
last
30d ago
Fixed Income
LinkedIn
Medium volume
96%
last
25d ago
Market Data
LinkedIn
Medium volume
98%
last
16d ago
Infrastructure Cost Management
LinkedIn
Medium volume
98%
last
16d ago
Conflict Resolution
LinkedIn
Medium volume
98%
last
30d ago
Root Cause Analysis
LinkedIn
Medium volume
98%
last
30d ago
Corporate Bond
LinkedIn
Medium volume
98%
last
25d ago
Data Synchronization
LinkedIn
Medium volume
98%
last
30d ago

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Who's active at Mandiri Sekuritas

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others2 active
researching Artificial Intelligence
in
Directorresearching Emerging Markets
in
Engineering1 active
researching Artificial Intelligence
in

Primary products / business lines

LinkedIn company profile

PT Mandiri Sekuritas (Mandiri Sekuritas/Company) has been awarded as Indonesia’s Best Investment Bank and Best Broker by the FinanceAsia Country Awards 2022. The 2022’s recognitions have made the Company continued its strong position as the Best Investment Bank in Indonesia or 12 consecutive years and Best Broker for 8 consecutive years. Mandiri Sekuritas is established in and providing customers

Top accounts researching Mandiri Sekuritas

names withheld on the public page

These are companies whose own people brought up Mandiri Sekuritas unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

1,418 companies · 3,946 people are researching Emerging Markets

Mandiri Sekuritas's own team shows 2 signals on this topic. No one outside Mandiri Sekuritas has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Artificial Intelligence129,094 cos · 649,540 people
  • Bond Yield81 cos · 225 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

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Company-size breakdown and buyer seniority mix for accounts researching Mandiri Sekuritas.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 2 people

What's been said

public posts by Mandiri Sekuritas's team

No public post naming Mandiri Sekuritas has surfaced in the past year, so this is what Mandiri Sekuritas's own team is posting about publicly — their topics, in their words.

LinkedInMarket Data

Lately I’ve been building a small exchange simulation using OUCH (order entry), ITCH (market data), and ITCH-MDF (reference feeds). In an earlier version, I used mmap between the matching engine and ITCH. It was fast and efficient, but also introduced complexity—especially around synchronization, memory lifecycle, versioning, and recovery. In the current iteration, I switched to a simpler in-process pipeline using lock-free SPSC queues: OUCH clients -> SoupBinTCP gateway -> matching engine -> SPSC event queues -> ITCH publisher -> ITCH-MDF publisher The tradeoffs are clearer: - mmap is useful for low-overhead IPC - SPSC is easier to reason about (ownership, ordering, determinism) - but it only fits naturally in a single producer → single consumer flow The ASX Trade documentation (with 4 matching engines) highlights this well: the real challenge isn’t just speed, but keeping sequencing, replay, and feeds consistent across engines. When moving to multiple matching engines, SPSC alone isn’t enough. Need routing, partitioning (e.g. by instrument), per-engine queues, and aggregation on the publishing side. This project keeps reinforcing how much details matter—protocols, matching logic, queues, and recovery all shape the system. References: https://lnkd.in/g6Zyqzip https://lnkd.in/gRujK2Sx Still a simulator, but a useful way to explore real-world tradeoffs. #marketdata #capitalmarkets #hft #matchingengine #tradingsystem #itch #ouch

Apr 2026

About this data. Mandiri Sekuritas (mandirisekuritas.co.id). Department attribution is 12.5%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries